LIONS publications

2019

Scalable Semidefinite Programming

A. Yurtsever; J. A. Tropp; O. Fercoq; M. Udell; V. Cevher 

2019-12-06. 

Interactive Teaching Algorithms for Inverse Reinforcement Learning

K. Parameswaran; R. Devidze; V. Cevher; A. Singla 

2019-08-10. The 28th International Joint Conference on Artificial Intelligence, 2019., Macao, China, August 10-16, 2019.

Interactive Teaching Algorithms for Inverse Reinforcement Learning

K. Parameswaran; D. Rati; V. Cevher; S. Adish 

2019-08-10. 28th International Joint Conference on Artificial Intelligence, 2019., Macao, China, August 10-16, 2019.

Fully automated gridding reconstruction for non-Cartesian x-space magnetic particle imaging

A. A. Ozaslan; A. Alacaoglu; O. B. Demirel; T. Cukur; E. U. Saritas 

Physics In Medicine And Biology. 2019-08-01. Vol. 64, num. 16, p. 165018. DOI : 10.1088/1361-6560/ab3525.

An Introductory Guide to Fano’s Inequality with Applications in Statistical Estimation

J. Scarlett 

Information-Theoretic Methods in Data Science; Cambridge University Press, 2019-06-12.

Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling

P. Dighe; A. Asaei; H. Bourlard 

Speech Communication. 2019-05-01. Vol. 109, p. 34-45. DOI : 10.1016/j.specom.2019.03.004.

Inertial Three-Operator Splitting Method and Applications

V. Cevher; C. B. Vu; A. Yurtsever 

SIAM Conference on Optimization – OP17, Vancouver, British Columbia, Canada, May 22-25, 2017.

On the convergence of stochastic primal-dual hybrid gradient

A. Alacaoglu; O. Fercoq; V. Cevher 

2019

An adaptive primal-dual framework for nonsmooth convex minimization

Q. Tran-Dinh; A. Alacaoglu; O. Fercoq; V. Cevher 

Mathematical Programming Computation. 2019. Vol. [First Online]. DOI : 10.1007/s12532-019-00173-3.

Data-driven Measurement Designs for Magnetic Resonance Imaging

B. Gözcü / V. Cevher (Dir.)  

Lausanne, EPFL, 2019. 

Stochastic Frank-Wolfe for Composite Convex Minimization

F. Locatello; A. Yurtsever; O. Fercoq; V. Cevher 

2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints

M. F. Sahin; A. Eftekhari; A. Alacaoglu; F. R. Latorre Gomez; V. Cevher 

2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.

Fast and Provable ADMM for Learning with Generative Priors

F. R. Latorre Gomez; A. Eftekhari; V. Cevher 

2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

A. Kavis; K. Y. Levy; F. Bach; V. Cevher 

2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.

Scalable Convex Optimization Methods for Semidefinite Programming

A. Yurtsever / V. Cevher (Dir.)  

Lausanne, EPFL, 2019. 

Sparse Inverse Problems Over Measures: Equivalence Of The Conditional Gradient And Exchange Methods

A. Eftekhari; A. Thompson 

Siam Journal On Optimization. 2019-01-01. Vol. 29, num. 2, p. 1329-1349. DOI : 10.1137/18M1183388.

Streaming Principal Component Analysis From Incomplete Data

A. Eftekhari; G. Ongie; L. Balzano; M. B. Wakin 

Journal Of Machine Learning Research. 2019-01-01. Vol. 20.

On Certifying Non-Uniform Bounds against Adversarial Attacks

C. Liu; R. Tomioka; V. Cevher 

2019. 36th International Conference on Machine Learning (ICML)’2019, Long Beach, USA, June 9-15, 2019.

Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator

A. Yurtsever; S. Sra; V. Cevher 

2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

P. T. Y. Rolland; A. Kavis; A. Immer; A. Singla; V. Cevher 

2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.

A Conditional Gradient-Based Augmented Lagrangian Framework

A. Yurtsever; O. Fercoq; V. Cevher 

2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.

Almost surely constrained convex optimization

O. Fercoq; A. Alacaoglu; I. Necoara; V. Cevher 

2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI

T. Sanchez; B. Gözcü; R. B. van Heeswijk; E. Ilıcak; T. Çukur et al. 

2019. 

Rethinking Sampling in Parallel MRI: A Data-Driven Approach

B. Gözcü; T. Sanchez; V. Cevher 

2019. 

Overlapping Multi-Bandit Best Arm Identification

J. Scarlett; I. Bogunovic; V. Cevher 

2019. The 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 7-12, 2019. p. 2544-2548.

Iterative Classroom Teaching

S. T. Yeo; K. Parameswaran; A. Singla; M. Arpit; T. L. C. Asselborn et al. 

2019. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, Hawaii, USA, January 27 – February 1, 2019. p. 5684-5692.

A Learning-Based Framework for Quantized Compressed Sensing

R. Karimi Mahabadi; J. Lin; V. Cevher 

IEEE Signal Processing Letters. 2019. Vol. 26, num. 6, p. 883-887. DOI : 10.1109/LSP.2019.2898350.

Robust Adaptive Decision Making: Bayesian Optimization and Beyond

I. Bogunovic / V. Cevher; J. D. Haupt (Dir.)  

Lausanne, EPFL, 2019. 

2018

Convergence of the Exponentiated Gradient Method with Armijo Line Search

Y-H. Li; V. Cevher 

Journal of Optimization Theory and Applications. 2018-12-03. DOI : 10.1007/s10957-018-1428-9.

A Single-Phase, Proximal Path-Following Framework

Quoc Tran-Dinh; A. Kyrillidis; V. Cevher 

Mathematics Of Operations Research. 2018-11-01. Vol. 43, num. 4, p. 1326-1347. DOI : 10.1287/moor.2017.0907.

Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

J. Lin; A. Rudy; L. Rosasco; V. Cevher 

Applied and Computational Harmonic Analysis. 2018-10-04. DOI : 10.1016/j.acha.2018.09.009.

Near-Optimal Noisy Group Testing via Separate Decoding of Items

J. Scarlett; V. Cevher 

IEEE Journal of Selected Topics In Signal Processing. 2018-10-01. Vol. 12, num. 5, p. 902-915. DOI : 10.1109/JSTSP.2018.2844818.

On the linear convergence of the stochastic gradient method with constant step-size

V. Cevher; C. B. Vu 

Optimization Letters. 2018-09-25. Vol. 12, p. 1-11. DOI : 10.1007/s11590-018-1331-1.

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

J. Lin; V. Cevher 

2018-09-03

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

A. Yurtsever; O. Fercoq; F. Locatello; V. Cevher 

2018-07-11. the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.

Online Adaptive Methods, Universality and Acceleration

K. Y. Levy; A. Yurtsever; V. Cevher 

2018-07-04. 32nd Conference on Neural Information Processing Systems conference (NIPS 2018), Montreal, Canada, December 3-8, 2018.

Near-Optimal Noisy Group Testing via Separate Decoding of Items

J. Scarlett; V. Cevher 

2018-06-17. IEEE International Symposium on Information Theory, Colorado, USA., June 17-22. 2018. p. 2311-2315.

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

J. Lin; V. Cevher 

2018-06-08. 35th International Conference on Machine Learning, Stockholm, Sweden, July 10 -15, 2018.

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

J. Lin; V. Cevher 

2018-03-11. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.

A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization

Q. Tran Dinh; O. Fercoq; V. Cevher 

SIAM Journal on Optimization. 2018-01-11. Vol. 28, num. 1, p. 96-134. DOI : 10.1137/16M1093094.

Generalization of Referenceless Timing Mismatch Calibration Methods for Time-Interleaved ADCs

A. Uran; M. Kilic; Y. Leblebici 

2018-01-01. 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) / 14th Conference on PhD Research in Microelectronics and Electronics (PRIME), Prague, CZECH REPUBLIC, Jul 02-05, 2018. p. 21-24.

Adversarially Robust Optimization with Gaussian Processes

I. Bogunovic; J. Scarlett; S. Jegelka; V. Cevher 

2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.

Online Adaptive Methods, Universality and Acceleration

K. Y. Levy; A. Yurtsever; V. Cevher 

2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.

Mirrored Langevin Dynamics

Y-P. Hsieh; A. Kavis; P. Rolland; V. Cevher 

2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

C. Aprile; J. Wuthrich; L. Baldassarre; Y. Leblebici; V. Cevher 

2018-01-01. 15th ACM International Conference on Computing Frontiers, Ischia, ITALY, May 08-10, 2018. p. 228-231. DOI : 10.1145/3203217.3203260.

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

D. Ram; A. Asaei; H. Bourlard 

Speech Communication. 2018. Vol. 103, p. 27-36. DOI : 10.1016/j.specom.2018.07.001.

Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization

Q. Tran Dinh; V. Cevher 

Large-Scale and Distributed Optimization; Springer, 2018.

Generalization properties of doubly stochastic learning algorithms

J. Lin; L. Rosasco 

JOURNAL OF COMPLEXITY. 2018. Vol. 47, p. 42-61. DOI : 10.1016/j.jco.2018.02.004.

Adversarially Robust Optimization with Gaussian Processes

I. Bogunovic; J. Scarlett; S. Jegelka; V. Cevher 

2018. Conference on Neural Information Processing Systems (NIPS), Montreal, 2018.

Finding Mixed Nash Equilibria of Generative Adversarial Networks

Y-P. Hsieh; C. Liu; V. Cevher 

2018. IEEE International Conference on Machine Learning (ICML)’ 2019, Long Beach, USA, June 9-15, 2019.

Real-time DCT Learning-based Reconstruction of Neural Signals

R. Karimi Mahabadi; C. Aprile; V. Cevher 

2018. 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy , September 3-7. 2018.

Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants

C. Aprile; K. Ture; L. Baldassarre; M. Shoaran; G. Yilmaz et al. 

2018. 1st International Symposium on Integrated Circuits and Systems (ISICAS), Taormina, ITALY, Sep 02-03, 2018. p. 3929-3941. DOI : 10.1109/TCSI.2018.2853983.

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

C. Aprile; J. Wüthrich; L. Baldassarre; Y. Leblebici; V. Cevher 

2018. ACM International Conference on Computing Frontiers 2018, Ischia, Italy, May 8-10, 2018.

Learning-Based Hardware Design for Data Acquisition Systems

C. Aprile / V. Cevher; Y. Leblebici (Dir.)  

Lausanne, EPFL, 2018. 

Learning without Smoothness and Strong Convexity

Y-H. Li / V. Cevher (Dir.)  

Lausanne, EPFL, 2018. 

Learning with Structured Sparsity: From Discrete to Convex and Back.

M. El Halabi / V. Cevher (Dir.)  

EPFL, 2018. 

Learning-Based Compressive MRI

B. Gözcü; R. Karimi Mahabadi; Y-H. Li; E. Ilıcak; T. Çukur et al. 

IEEE Transactions On Medical Imaging. 2018. Vol. 37, num. 6, p. 1394-1406. DOI : 10.1109/TMI.2018.2832540.

Mirrored Langevin Dynamics

Y-P. Hsieh; A. Kavis; P. T. Y. Rolland; V. Cevher 

2018. Thirty-second Conference on Neural Information Processing Systems (NIPS), Montréal,

Dimension-free Information Concentration via Exp-Concavity

Y-P. Hsieh; V. Cevher 

2018. Algorithmic Learning Theory (ALT) 2018, Lanzarote, Spain, April 7-9, 2018.

Robust Maximization of Non-Submodular Objectives

I. Bogunovic; J. Zhao; V. Cevher 

2018. International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarote, Canary Islands, April, 9-11, 2018.

High Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

P. T. Y. Rolland; J. Scarlett; I. Bogunovic; V. Cevher 

2018. AISTATS, Lanzarote, Spain, April, 9-11, 2018.

Stochastic Three-Composite Convex Minimization with a Linear Operator

R. Zhao; V. Cevher 

2018. 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018,, Lanzarotte, Spain, April 9-11, 2018.

Let’s be honest: An optimal no-regret framework for zero-sum games

E. Asadi Kangarshahi; Y-P. Hsieh; M. F. Sahin; V. Cevher 

2018. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.

Chemical machine learning with kernels: The key impact of loss functions

V. Q. Nguyen; S. De; J. Lin; V. Cevher 

2018

An Eight lanes 7Gb/s/pin Source Synchronous Single-Ended RX with Equalization and Far-End Crosstalk Cancellation for Backplane Channels

C. Aprile; A. Cevrero; P. A. Francese; C. Menolfi; M. Braendli et al. 

IEEE Journal of Solid State Circuits. 2018. Vol. 53, num. 3, p. 861-872. DOI : 10.1109/JSSC.2017.2783679.

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Y-P. Hsieh; Y-C. Kao; R. Karimi Mahabadi; Y. Alp; A. Kyrillidis et al. 

IEEE Transactions on Signal Processing. 2018. Vol. 66, num. 22, p. 5917-5926. DOI : 10.1109/TSP.2018.2870353.

Stochastic Forward-Douglas-Rachford Splitting for Monotone Inclusions

V. Cevher; C. B. Vu; A. Yurtsever 

Stochastic Forward Douglas-Rachford Splitting Method for Monotone Inclusions; Springer International Publishing, 2018.

2017

Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data

J. A. Tropp; A. Yurtsever; M. Udell; V. Cevher 

2017-12-04. 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, California, USA, December 4-9, 2017.

Practical Sketching Algorithms For Low-Rank Matrix Approximation

J. A. Tropp; A. Yurtsever; M. Udell; V. Cevher 

Siam Journal On Matrix Analysis And Applications. 2017. Vol. 38, num. 4, p. 1454-1485. DOI : 10.1137/17M1111590.

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach

S. Mitrovic; I. Bogunovic; A. Norouzi Fard; J. Tarnawski; V. Cevher 

2017. Conference on Neural Information Processing Systems (NIPS), Long Beach,

Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization

A. Alacaoglu; Q. Tran-Dinh; O. Fercoq; V. Cevher 

2017. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA, December 4-9, 2017.

A Distributed Algorithm for Partitioned Robust Submodular Maximization

I. Bogunovic; S. Mitrovic; J. Scarlett; V. Cevher 

2017. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Phase Transitions in the Pooled Data Problem

J. Scarlett; V. Cevher 

2017. Conference on Neural Information Processing Systems (NIPS), Long Beach, California, December 2017.

Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework

J. Scarlett; V. Cevher 

IEEE Journal of Selected Topics in Signal Processing. 2017. 

Combinatorial Penalties: Which structures are preserved by convex relaxations?

M. El Halabi; F. Bach; V. Cevher 

2017. 21st International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarotte, Spain , April 9-11, 2017.

General Proximal Gradient Method: A Case for Non-Euclidean Norms

M. El Halabi; Y-P. Hsieh; B. Vu; Q. Nguyen; V. Cevher 

2017. 

Smoothing technique for nonsmooth composite minimization with linear operator

Q. V. Nguyen; O. Fercoq; V. Cevher 

Preprint. 2017. 

Robust Submodular Maximization: A Non-Uniform Partitioning Approach

I. Bogunovic; S. Mitrovic; J. Scarlett; V. Cevher 

2017. The 34th International Conference on Machine Learning (ICML), Sydney, 2017.

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

J. Scarlett; I. Bogunovic; V. Cevher 

2017. Conference on Learning Theory (COLT)Conference on Learning Theory (COLT), AmsterdamAmsterdam, Netherlands, July 2017July, 7-10, 2017.

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems

C. Aprile; J. Wüthrich; L. Baldassarre; Y. Leblebici; V. Cevher 

2017. Computing Frontiers Conference 2017, Siena, Italy, May 15-17, 2017. p. 391-394. DOI : 10.1145/3075564.3078890.

An Adaptive Sublinear-Time Block Sparse Fourier Transform

V. Cevher; M. Kapralov; J. Scarlett; A. Zandieh 

2017. ACM Symposium on Theory of Computing (STOC), Montreal, June 19-23, 2017.

Faster Coordinate Descent via Adaptive Importance Sampling

D. Perekrestenko; V. Cevher; M. Jaggi 

2017. 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017, Fort Lauderdale, Florida, USA, April 20-22, 2017.

Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage

A. Yurtsever; M. Udell; J. A. Tropp; V. Cevher 

2017. 20th International Conference on Artificial Intelligence and Statistics (AISTATS2017), Fort Lauderdale, Florida, USA, April 20-22, 2017.

How little does non-exact recovery help in group testing?

J. Scarlett; V. Cevher 

2017. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, March 2017. p. 6090-6094.

A single-phase, proximal path-following framework

Q. Tran Dinh; A. Kyrillidis; V. Cevher 

Mathematics of Operations Research. 2017. 

Lower Bounds on Active Learning for Graphical Model Selection

J. Scarlett; V. Cevher 

2017. The 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), Fort Lauderdale, Florida, USA, April 20-22, 2017.

Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework

J. Scarlett; V. Cevher 

IEEE Transactions on Information Theory. 2017. Vol. 63, num. 1, p. 593-620. DOI : 10.1109/TIT.2016.2606605.

2016

An Efficient Streaming Algorithm for the Submodular Cover Problem

A. Norouzi Fard; A. Bazzi; M. El Halabi; I. Bogunovic; Y-P. Hsieh et al. 

2016. The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS).

Stochastic Three-Composite Convex Minimization

A. Yurtsever; C. B. Vu; V. Cevher 

2016. 30th Conference on Neural Information Processing Systems (NIPS2016), Barcelona, Spain, December 5-10, 2016.

Randomized Single-View Algorithms for Low-Rank Matrix Approximation

J. A. Tropp; A. Yurtsever; M. Udell; V. Cevher 

2016

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation

I. Bogunovic; J. Scarlett; A. Krause; V. Cevher 

2016. Conference on Neural Information Processing Systems (NIPS), Barcelona, December 5-10, 2016.

Convex block-sparse linear regression with expanders – provably

A. Kyrillidis; B. Bah; R. Hasheminezhad; Q. Tran Dinh; L. Baldassarre et al. 

2016. The 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), Cadiz, Spain, May 7-11, 2016.

Estimation Error of the Constrained Lasso

N. Zerbib; Y-H. Li; Y-P. Hsieh; V. Cevher 

2016. 54th Annu. Allerton Conf. Communication, Control, and Computing, Monticello, IL, September 27-30, 2016.

Learning Data Triage: Linear Decoding Works for Compressive MRI

Y-H. Li; V. Cevher 

2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing. p. 4034-4038.

Frank-Wolfe Works for Non-Lipschitz Continuous Gradient Objectives: Scalable Poisson Phase Retrieval

G. Odor; Y-H. Li; A. Yurtsever; Y-P. Hsieh; Q. Tran Dinh et al. 

2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing. p. 6230-6234.

Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition

C. Aprile; L. Baldassarre; V. Gupta; J. Yoo; M. Shoaran et al. 

2016. 26th edition of GLSVLSI, Boston, USA, May 18-20, 2016. p. 433-438. DOI : 10.1145/2902961.2903028.

Time-Varying Gaussian Process Bandit Optimization

I. Bogunovic; J. Scarlett; V. Cevher 

2016. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain, May 9 – 11, 2016.

Partial Recovery Bounds for the Sparse Stochastic Block Model

J. Scarlett; V. Cevher 

2016. International Symposium on Information Theory (ISIT), Barcelona, July 10-15, 2016. p. 1904-1908.

Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices

J. Scarlett; V. Cevher 

2016. International Symposium on Information Theory (ISIT), Barcelona, July 10-15, 2016. p. 2868-2872.

On the Difficulty of Selecting Ising Models with Approximate Recovery

J. Scarlett; V. Cevher 

IEEE Transactions on Signal and Information Processing over Networks. 2016. Vol. 2, num. 4, p. 625-638. DOI : 10.1109/Tsipn.2016.2596439.

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices

J. Scarlett; V. Cevher 

2016. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain, May 9-11, 2016.

Adaptive-Rate Reconstruction of Time-Varying Signals with Application in Compressive Foreground Extraction

J. F. C. Mota; N. Deligiannis; A. C. Sankaranarayanan; V. Cevher; M. R. D. Rodrigues 

IEEE Transactions on Signal Processing. 2016. Vol. 64, num. 14, p. 3651-3666. DOI : 10.1109/TSP.2016.2544744.

Stochastic Spectral Descent for Discrete Graphical Models

D. Carlson; Y-P. Hsieh; E. Collins; L. Carin; V. Cevher 

IEEE Journal of Selected Topics in Signal Processing. 2016. Vol. 10, num. 2, p. 296-311. DOI : 10.1109/Jstsp.2015.2505684.

Learning-Based Compressive Subsampling

L. Baldassarre; Y-H. Li; J. Scarlett; B. Gözcü; I. Bogunovic et al. 

IEEE Journal on Selected Topics in Signal Processing. 2016. Vol. 10, num. 4, p. 809-822. DOI : 10.1109/Jstsp.2016.2548442.

Phase Transitions in Group Testing

J. Scarlett; V. Cevher 

2016. ACM-SIAM Symposium on Discrete Algorithms (SODA), Arlington, Virginia, USA, January 10-12, 2016.

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Foreground Subtraction

J. F. C. Mota; N. Deligiannis; A. C. Sankaranarayanan; V. Cevher; M. R. D. Rodrigues 

IEEE Transactions on Signal Processing. 2016. Vol. 64, num. 14, p. 3651-3666. DOI : 10.1109/TSP.2016.2544744.

Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices

S. Rangan; P. Schniter; E. Riegler; A. Fletcher; V. Cevher 

2016. IEEE International Symposium on Information Theory, (ISIT), Istanbul, Turkey, July 7-12 2013. p. 7464-7474. DOI : 10.1109/ISIT.2013.6620309.

Group-Sparse Model Selection: Hardness and Relaxations

L. Baldassarre; N. Bhan; V. Cevher; A. Kyrillidis 

IEEE Transactions on Information Theory. 2016. Vol. 62, num. 11, p. 6508-6534. DOI : 10.1109/TIT.2016.2602222.

2015

Composite convex minimization involving self-concordant-like cost functions

Q. Tran Dinh; Y-H. Li; V. Cevher 

2015. Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2015), Metz, France, May 11-13, 2015.

Structured Sampling and Recovery of iEEG Signals

L. Baldassarre; C. Aprile; M. Shoaran; Y. Leblebici; V. Cevher 

2015. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 13-16, 2015.

Scalable Convex Methods for Phase Retrieval

A. Yurtsever; Y-P. Hsieh; V. Cevher 

2015. 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, December 13-16, 2015.

Introduction to the Issue on Signal Processing for Big Data

G. B. Giannakis; R. Cendrillon; V. Cevher; A. Swami; Z. Tian 

Ieee Journal Of Selected Topics In Signal Processing. 2015. Vol. 9, num. 4, p. 583-585. DOI : 10.1109/Jstsp.2015.2418393.

On the Dispersions of the Gel’fand-Pinsker Channel and Dirty Paper Coding

J. Scarlett 

IEEE Transactions on Information Theory. 2015. Vol. 61, num. 9, p. 4569-4586. DOI : 10.1109/Tit.2015.2449844.

Preconditioned Spectral Descent for Deep Learning

D. Carlson; E. Collins; Y-P. Hsieh; L. Carin; V. Cevher 

2015. 29-th Neural Information Processing Systems (NIPS), 2015.

Second-Order Asymptotics for the Discrete Memoryless MAC with Degraded Message Sets

J. Scarlett; V. Y. F. Tan 

2015. IEEE International Symposium on Information Theory, Hong Kong,

Refinements of the Third-Order Term in the Fixed Error Asymptotics of Constant-Composition Codes

J. Scarlett; A. Martinez; A. Guillén i Fàbregas 

2015. IEEE International Symposium on Information Theory, Hong Kong,

An optimal first-order primal-dual gap reduction framework for constrained convex optimization

Q. Tran Dinh; V. Cevher 

2015

Splitting the Smoothed Primal-Dual Gap: Optimal Alternating Direction Methods

Q. Tran Dinh; V. Cevher 

2015

A Primal-dual Framework For Mixtures Of Regularisers

B. Gözcü; L. Baldassarre; Q. Tran Dinh; C. Aprile; V. Cevher 

2015. 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, August 31 – September 4 2015.

Sparse Group Covers and Greedy Tree Approximations

S. Satpathi; L. Baldassarre; V. Cevher 

2015. 2015 IEEE Internation Symposium on Information Theory, Hong Kong, China, June 14-19, 2015.

Limits on Support Recovery with Probabilistic Models: An Information-Theoretic Framework

J. Scarlett; V. Cevher 

2015. International Symposium on Information Theory, Hong Kong, June 2015.

A 5.9mW/Gb/s 7Gb/s/pin 8-Lane Single-Ended RX with Crosstalk Cancellation Scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS

A. Cevrero; C. Aprile; P. A. Francese; U. Bapst; C. Menolfi et al. 

2015. Symposium on VLSI Circuits, Kyoto, Japan, June 15-19, 2015.

Composite convex minimization involving self-concordant-like cost functions

Q. Tran Dinh; Y-H. Li; V. Cevher 

Tech. Report. 2015. 

A Geometric View on Constrained M-Estimators

Y-H. Li; Y-P. Hsieh; N. Zerbib; V. Cevher 

2015

Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression

Y-H. Li; V. Cevher 

2015. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing, Brisbane, Australia, April 19-24, 2015.

Dynamic Sparse State Estimation Using ℓ1-ℓ1 Minimization: Adaptive-rate Measurement Bounds, Algorithms and Applications

J. Mota; N. Deligiannis; A. C. Sankaranarayanan; V. Cevher; M. Rodrigues 

2015. 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Brisbane, Queensland, Australia, April 19-24, 2015.

A Universal Primal-Dual Convex Optimization Framework

A. Yurtsever; Q. Tran Dinh; V. Cevher 

2015. 29th Annual Conference on Neural Information Processing Systems (NIPS2015), Montreal, Canada, December 7-12, 2015.

Active Learning of Self-concordant like Multi-index Functions

I. Bogunovic; V. Cevher; J. Haupt; J. Scarlett 

2015. 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 19-24, 2015.

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

J. J. Bruer; J. A. Tropp; V. Cevher; S. Becker 

IEEE Journal of Selected Topics in Signal Processing. 2015. Vol. 9, num. 4, p. 612-624. DOI : 10.1109/Jstsp.2015.2400412.

WASP: Scalable Bayes via barycenters of subset posteriors

S. Srivastava; V. Cevher; Q. Tran Dinh; D. B. Dunson 

2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, USA, May 9-12, 2015.

Stochastic Spectral Descent for Restricted Boltzmann Machines.

D. Carlson; V. Cevher; L. Carin 

2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, USA, May 9-12, 2015.

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Y-H. Li; J. Scarlett; P. Ravikumar; V. Cevher 

2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, California, USA, May 9-12, 2015.

What’s the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid

P. Boufounos; V. Cevher; A. C. Gilbert; Y. Li; M. J. Strauss 

Algorithmica. 2015. Vol. 73, num. 2, p. 261-288. DOI : 10.1007/s00453-014-9918-0.

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements

L. Wang; J. Huang; X. Yuan; K. Krishnamurthy; J. Greenberg et al. 

SIAM Journal on Imaging Sciences (SIIMS). 2015. Vol. 8, num. 3, p. 1923-1954. DOI : 10.1137/140998779.

A totally unimodular view of structured sparsity

M. El Halabi; V. Cevher 

2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, California, USA, May 9 – 12, 2015.

Composite Self-Concordant Minimization

Q. Tran Dinh; A. Kyrillidis; V. Cevher 

Journal of Machine Learning Research. 2015. Vol. 16, p. 371-416.

2014

Approximate Matrix Multiplication with Application to Linear Embeddings

A. Kyrillidis; M. Vlachos; A. Zouzias 

2014. IEEE International Symposium on Information Theory (ISIT), Honolulu, HI, JUN 29-JUL 04, 2014. p. 2182-2186.

Bilinear Generalized Approximate Message Passing—Part II: Applications

J. Parker; P. Schniter; V. Cevher 

IEEE Transactions on Signal Processing. 2014. Vol. 62, num. 22, p. 5854-5867. DOI : 10.1109/TSP.2014.2357773.

Bilinear Generalized Approximate Message Passing—Part I: Derivation

J. Parker; P. Schniter; V. Cevher 

IEEE Transactions on Signal Processing. 2014. Vol. 62, num. 22, p. 5839-5853. DOI : 10.1109/TSP.2014.2357776.

Convex Optimization for Big Data

V. Cevher; S. Becker; M. Schmidt 

IEEE Signal Processing Magazine. 2014. Vol. 31, num. 5, p. 32-43. DOI : 10.1109/MSP.2014.2329397.

Time–Data Tradeoffs by Aggressive Smoothing

J. J. Bruer; J. A. Tropp; V. Cevher; S. R. Becker 

2014. Conference of Neural Information Processing Systems (NIPS) Foundation 2014, Montreal, Quebec, Canada, December 8-11, 2014.

Learning non-parametric basis independent models from point queries via low-rank methods

H. Tyagi; V. Cevher 

Applied And Computational Harmonic Analysis. 2014. Vol. 37, num. 3, p. 389-412. DOI : 10.1016/j.acha.2014.01.002.

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

A. Kyrillidis / V. Cevher (Dir.)  

Lausanne, EPFL, 2014. 

Constrained convex minimization via model-based excessive gap

Q. Tran Dinh; V. Cevher 

2014. Advances in Neural Information Processing Systems (NIPS) 2014, Montreal, Quebec, Canada, December 8-11, 2014.

MAP Estimation for Bayesian Mixture Models with Submodular Priors

M. El Halabi; L. Baldassarre; V. Cevher 

2014. 2014 IEEE International Workshop on Machine Learning for signal processing, Reims, France, Sept 21-24, 2014.

Path-following gradient-based decomposition algorithms for separable convex optimization

Q. Tran Dinh; I. Necoara; M. Diehl 

Journal of Global Optimization. 2014. Vol. 59, num. 1, p. 59-80. DOI : 10.1007/s10898-013-0085-7.

A Primal-Dual Algorithmic Framework for Constrained Convex Minimization

Q. Tran Dinh; V. Cevher 

2014

A variational approach to stable principal component pursuit

A. Aravkin; S. Becker; V. Cevher; P. Olsen 

2014. 30th Conference on Uncertainty in Artificial Intelligence (UAI) 2014, Quebec City, Quebeck, Canada, July 23-27, 2014.

Fixed-Rank Rayleigh Quotient Maximization by an MPSK Sequence

A. Kyrillidis; G. N. Karystinos 

IEEE Transactions on Communications. 2014. Vol. 62, num. 3, p. 961-975. DOI : 10.1109/Tcomm.2014.012414.130439.

Scalable sparse covariance estimation via self-concordance

A. Kyrillidis; R. Karimi Mahabadi; Q. Tran Dinh; V. Cevher 

2014. Twenty-Eighth AAAI Conference on Artificial Intelligence, Quebec, Canada, July 27-31, 2014.

Learning with tensors: a framework based on convex optimization and spectral regularization

M. Signoretto; Q. Tran Dinh; L. De Lathauwer; J. A. K. Suykens 

Machine Learning. 2014. Vol. 94, num. 3, p. 303-351. DOI : 10.1007/s10994-013-5366-3.

Barrier Smoothing for Nonsmooth Convex Minimization

Q. Tran Dinh; Y-H. Li; V. Cevher 

2014. IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 4-9, 2014.

Metric Learning with Rank and Sparsity Constraints

B. Bah; V. Cevher; S. Becker; B. Gözcü 

2014. IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 4-9, 2014.

Model-based Sparse Component Analysis for Reverberant Speech Localization

A. Asaei; H. Bourlard; M. Taghizadeh; V. Cevher 

2014. IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 4-9.

Matrix Recipes for Hard Thresholding Methods

A. Kyrillidis; V. Cevher 

Journal Of Mathematical Imaging And Vision. 2014. Vol. 48, num. 2, p. 235-265. DOI : 10.1007/s10851-013-0434-7.

An inexact proximal path-following algorithm for constrained convex minimization

Q. Tran Dinh; A. Kyrillidis; V. Cevher 

Siam Journal On Optimization. 2014. Vol. 24, num. 4, p. 1718-1745. DOI : 10.1137/130944539.

Model-based Sketching and Recovery with Expanders

B. Bah; L. Baldassarre; V. Cevher 

2014. ACM-SIAM Symposium on Discrete Algorithms, Portland, Oregon, USA, January 5-7, 2014. p. 1529-1543. DOI : 10.1137/1.9781611973402.112.

Structured Sparsity Models for Reverberant Speech Separation

A. Asaei; M. Golbabaee; H. Bourlard; V. Cevher 

IEEE Transactions on Audio, Speech and Language Processing. 2014. Vol. 22, num. 3, p. 620-633. DOI : 10.1109/Taslp.2013.2297012.

2013

Tractability of interpretability via selection of group-sparse models

N. Bhan; L. Baldassarre; V. Cevher 

2013. IEEE International Symposium on Information Theory Proceedings (ISIT), 2013, Istanbul, Turkey, July 7-13, 2013. DOI : 10.1109/ISIT.2013.6620384.

Sparse projections onto the simplex

A. Kyrillidis; S. Becker; V. Cevher; C. Koch 

2013. The 30th International Conference on Machine Learning (ICML) 2013, Atlanta, USA, June 16-21, 2013. p. 280-288.

Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

A. Kyrillidis; V. Cevher 

2013. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, BC, Canada, May 26-31, 2013. p. 6585-6589. DOI : 10.1109/ICASSP.2013.6638935.

Time-Optimal Path Following for Robots With Convex-Concave Constraints Using Sequential Convex Programming

F. Debrouwere; W. Van Loock; G. Pipeleers; Q. Tran Dinh; M. Diehl et al. 

Ieee Transactions On Robotics. 2013. Vol. 29, num. 6, p. 1485-1495. DOI : 10.1109/Tro.2013.2277565.

Convexity in source separation: Models, geometry, and algorithms

M. McCoy; V. Cevher; Q. Tran Dinh; A. Asaei; L. Baldassarre 

Signal Processing Magazine, IEEE. 2013. Vol. 31, num. 3, p. 87-95. DOI : 10.1109/MSP.2013.2296605.

Accelerated And Inexact Forward-Backward Algorithms

S. Villa; S. Salzo; L. Baldassarre; A. Verri 

Siam Journal On Optimization. 2013. Vol. 23, num. 3, p. 1607-1633. DOI : 10.1137/110844805.

High-Dimensional Gaussian Process Bandits

J. Djolonga; A. Krause; V. Cevher 

2013. Neural Information Processing Systems, Lake Tahoe, Nevada, December 5-8, 2013.

Manifold Sparse Beamforming

B. Gözcü; A. Asaei; V. Cevher 

2013. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, France, December 15-18, 2013. p. 113-116. DOI : 10.1109/CAMSAP.2013.6714020.

To Convexify or Not? Regression with Clustering Penalties on Graphs

M. El Halabi; L. Baldassarre; V. Cevher 

2013. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, France, December 15-18. 2013. p. 21-24. DOI : 10.1109/CAMSAP.2013.6713997.

Energy-aware adaptive bi-Lipschitz embeddings

B. Bah; A. Sadeghian; V. Cevher 

2013. 10th International Conference on Sampling Theory and Applications (SampTA), Bremen, Germany, July 1-5, 2013.

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

A. Kyrillidis; V. Cevher 

2013. 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013.

Randomized Low-Memory Singular Value Projection

S. Becker; V. Cevher; A. Kyrillidis 

2013. 10th International Conference on Sampling Theory and Applications (Sampta), Bremen, Germany, July 1st – July 5th, 2013.

A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions

Q. Tran Dinh; A. Kyrillidis; V. Cevher 

2013. 30th International Conference on Machine Learning, Atlanta, GA, USA, June 16-19, 2013.

2012

Filtered Variation method for denoising and sparse signal processing

K. Kose; V. Cevher; A. E. Cetin 

2012. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, Kyoto, Japan, March 25-30, 2012. DOI : 10.1109/ICASSP.2012.6288628.

Learning Ridge Functions With Randomized Sampling In High Dimensions

H. Tyagi; V. Cevher 

2012. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March 25-39, 2012. p. 2025-2028. DOI : 10.1109/ICASSP.2012.6288306.

Multi-Way Compressed Sensing for Sparse Low-Rank Tensors

N. D. Sidiropoulos; A. Kyrillidis 

IEEE Signal Processing Letters. 2012. Vol. 19, num. 11, p. 757-760. DOI : 10.1109/Lsp.2012.2210872.

Hard Thresholding with Norm Constraints

A. Kyrillidis; G. Puy; V. Cevher 

2012. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March, 2012. p. 3645-3648. DOI : 10.1109/ICASSP.2012.6288706.

Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction

A. Kyrillidis; V. Cevher 

2012. IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, Michigan, USA, August, 2012. p. 185-188. DOI : 10.1109/SSP.2012.6319655.

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

A. Kyrillidis; V. Cevher 

2012. 2012 IEEE International Symposium on Information Theory Proceedings (ISIT), Cambridge, Massachusetts, USA, July 1-6, 2012. p. 2216-2220. DOI : 10.1109/ISIT.2012.6283847.

Active Learning of Multi-Index Function Models

V. Cevher; H. Tyagi 

2012. NIPS (The Neural Information Processing Systems), Lake Tahoe, Reno, Nevada, December 3-8, 2012.

Method, apparatus and computer program product for determining the location of a plurality of speech sources

A. Asaei; H. Bourlard; V. Cevher 

US9689959; US2013096922.

2012.

Structured Sparse Coding for Microphone Array Location Calibration

A. Asaei; B. Raj; H. Bourlard; V. Cevher 

2012. SAPA-SCALE Conference, Portland, Oregon, USA, September 7-13.

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures

A. Asaei; M. Davies; H. Bourlard; V. Cevher 

2012. The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 25-30, 2012.

Equivalence of synthesis and atomic formulations of sparse recovery

M. Fatemi; S. Dashmiz; M. H. Shafinia; V. Cevher 

2012. IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, Michigan, USA, Aug 5-8, 2012. p. 177-180.

Compressible distributions for high-dimensional statistics

R. Gribonval; V. Cevher; M. E. Davies 

IEEE Transactions on Information Theory. 2012. Vol. 58, num. 8, p. 5016-5034. DOI : 10.1109/TIT.2012.2197174.

Bearing estimation via spatial sparsity using compressive sensing

A. C. Gurbuz; V. Cevher; J. H. McClellan 

IEEE Transactions on Aerospace and Electronic Systems. 2012. Vol. 48, num. 2, p. 1358-1369. DOI : 10.1109/TAES.2012.6178067.

2011

Compressive sensing meets game theory

S. Jafarpour; R. E. Schapire; V. Cevher 

2011. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. p. 3660-3663. DOI : 10.1109/ICASSP.2011.5947144.

Online performance guarantees for sparse recovery

R. Giryes; V. Cevher 

2011. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. DOI : 10.1109/ICASSP.2011.5946908.

Recipes on Hard Thresholding Methods

A. Kyrillidis; V. Cevher 

2011. 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Puerto Rico, December, 2011. DOI : 10.1109/CAMSAP.2011.6136024.

On Accelerated Hard Thresholding Methods for Sparse Approximation

V. Cevher 

2011. Conference on Wavelets and Sparsity XIV, San Diego, California, USA, Aug 21-24, 2011. p. -. DOI : 10.1117/12.894386.

Model-Based Compressive Sensing for Multi-Party Distant Speech Recognition

A. Asaei; H. Bourlard; V. Cevher 

2011. The 36th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011.

Greedy Dictionary Selection for Sparse Representation

V. Cevher; A. Krause 

IEEE Journal of Selected Topics in Signal Processing. 2011. Vol. 5, num. 5, p. 979-988. DOI : 10.1109/JSTSP.2011.2161862.

An Alps View of Sparse Recovery

V. Cevher 

2011. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. p. 5808-5811. DOI : 10.1109/ICASSP.2011.5947681.

Rank-Deficient Quadratic-Form Maximization Over M-Phase Alphabet: Polynomial-Complexity Solvability And Algorithmic Developments

A. T. Kyrillidis; G. N. Karystinos 

2011. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. p. 3856-3859. DOI : 10.1109/ICASSP.2011.5947193.

Compressive Sensing under Matrix Uncertainties: An Approximate Message Passing Approach

J. T. Parker; V. Cevher; P. Schniter 

2011. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA, November 6-9, 2011. DOI : 10.1109/ACSSC.2011.6190118.

Multi-party Speech Recovery Exploiting Structured Sparsity Models

A. Asaei; M. Taghizadeh; H. Bourlard; V. Cevher 

2011. 12th Annual Conference of the International Speech Communication Association, Florence, Italy, August 28-31, 2011.

A Game Theoretic Approach to Expander-based Compressive Sensing

S. Jafarpour; V. Cevher; R. Schapire 

2011. IEEE International Symposium on Information Theory (ISIT), St. Petersburg , Russia, July 31 – August 5, 2011. p. 464-468. DOI : 10.1109/ISIT.2011.6034169.

Learning Low-Dimensional Signal Models

L. Carin; R. Baraniuk; V. Cevher; D. Dunson; M. Jordan et al. 

IEEE Signal Processing Magazine. 2011. Vol. 28, num. 2, p. 39-51. DOI : 10.1109/MSP.2010.939733.

2010

Fast hard thresholding with Nesterov’s gradient method

V. Cevher; S. Jafarpour 

2010. Advances in Neuronal Information Processing Systems (NIPS) Workshops, Whistler, Canada, December 2010.

Sparse Signal Acquisition and Recovery with Graphical Models

V. Cevher; P. Indyk; L. Carin; R. Baraniuk 

IEEE Signal Processing Magazine. 2010. Vol. 26, num. 6, p. 92-103. DOI : 10.1109/MSP.2010.938029.

Submodular dictionary selection for sparse representation

A. Krause; V. Cevher 

2010. International Conference on Machine Learning (ICML), Haifa, Israel, June 2010.

Distributed bearing estimation via matrix completion

A. Waters; V. Cevher 

2010. 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, Texas, USA, March 14-19, 2010. DOI : 10.1109/ICASSP.2010.5496281.

Model-based compressive sensing

R. Baraniuk; V. Cevher; M. F. Duarte; C. Hegde 

IEEE Transactions on Information Theory. 2010. Vol. 56, num. 4, p. 1982-2001. DOI : 10.1109/TIT.2010.2040894.

Low-dimensional models for dimensionality reduction and signal recovery: A geometric perspective

R. Baraniuk; V. Cevher; M. B. Wakin 

Proceedings of the IEEE. 2010. Vol. 98, num. 6, p. 959-971. DOI : 10.1109/JPROC.2009.2038076.

2009

Learning with Compressible Priors

V. Cevher 

2009. Neural Information Processing Systems (NIPS), Vancouver, B.C., Canada, December 2009.

Model-Based Compressive Sensing for Signal Ensembles

M. F. Duarte; V. Cevher; R. G. Baraniuk 

2009. 47th Annual Allerton Conference on Communication, Control and Computing, Monticello, IL, September 2009.

Recovery of clustered sparse signals from compressive measurements

V. Cevher; P. Indyk; C. Hegde; R. Baraniuk 

2009. International conference on Sampling Theory and Applications(SAMPTA), Marseille, France, 18-22 May, 2009.

Near-Optimal Bayesian Localization via Incoherence and Sparsity

V. Cevher; P. Boufounos; R. G. Baraniuk; A. C. Gilbert; M. J. Strauss 

2009. IEEE/ACM Information Processing in Sensor Networks (IPSN), San Francisco, CA, Apr 13-16, 2009.

Compressive sensing recovery of spike trains using a structured sparsity model

C. Hegde; M. F. Duarte; V. Cevher 

2009. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), Saint-Malo, France, April 06-09, 2009 .

Recovery of Compressible Signals in Unions of Subspaces

M. F. Duarte; C. Hegde; V. Cevher; R. G. Baraniuk 

2009. Conference on Information Sciences and Systems (CISS), Baltimore, MD, Mar 18-20, 2009.

Acoustic sensor network design for position estimation

V. Cevher; L. Kaplan 

ACM Transactions on Sensor Networks. 2009. Vol. 5, num. 3.

Vehicle speed estimation using acoustic wave patterns

V. Cevher; R. Chellappa; J. H. McClellan 

IEEE Transactions on Signal Processing. 2009. Vol. 57, num. 1, p. 30-47. DOI : 10.1109/TSP.2008.2005750.

2008

Sparse signal recovery using Markov random fields

V. Cevher; M. F. Duarte; C. Hedge; R. Baraniuk 

2008. Neural Information Processing Systems (NIPS), Vancouver, B.C., Canada, December 8-11, 2008.

Compressive Sensing for Background Subtraction

V. Cevher; A. Sankaranarayanan; M. F. Duarte; D. Reddy; R. G. Baraniuk et al. 

2008. European Conference on Computer Vision (ECCV), Marseille, FRANCE, Oct 12-18, 2008.

Distributed target localization via spatial sparsity

V. Cevher; M. F. Duarte; R. Baraniuk 

2008. European Conference on Signal Processing (EUSIPCO), Lausanne, Switzerland, August 25-29, 2008.

Pareto frontiers of sensor networks for localization

V. Cevher; L. Kaplan 

2008. IEEE/ACM Information Processing in Sensor Networks (IPSN), St Louis, MO, Apr 22-24, 2008.

Compressive Sensing For Sensor Calibration

V. Cevher; R. Baraniuk 

2008. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Darmstadt, GERMANY, Jul 21-23, 2008.

Compressed Sensing For Multi-View Tracking And 3-D Voxel Reconstruction

D. Reddy; A. C. Sankaranarayanan; V. Cevher; R. Chellappa 

2008. IEEE International Conference on Image Processing (ICIP), San Diego, CA, Oct 12-15, 2008.

Factorized variational approximations for acoustic multi source localization

V. Cevher; A. C. Sankaranarayanan; R. Chellappa 

2008. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, Mar 30-Apr 04, 2008.

Compressive wireless arrays for bearing estimation

V. Cevher; A. C. Gurbuz; J. H. McClellan; R. Chellappa 

2008. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, Mar 30-Apr 04, 2008.

A compressive beamforming method

A. C. Gurbuz; J. H. McClellan; V. Cevher 

2008. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, Mar 30-Apr 04, 2008.

2007

Gaussian approximations for energy-based detection and localization in sensor networks

V. Cevher; R. Chellappa; J. H. McClellan 

2007. IEEE Statistical Signal Processing Workshop (SSP), Madison, WI, Aug 26-29, 2007.

Implementation of batch-based particle filters for multi-sensor tracking

R. Velmurugan; V. Cevher; J. H. McClellan 

2007. IEEE Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), St Thomas, VI, Dec 12-14, 2007.

Mixed-mode implementation of particle filters

R. Velmurugan; S. Subramanian; V. Cevher; J. H. McClellan; D. V. Anderson 

2007. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), Victoria, Canada, Aug 22-24, 2007.

Joint acoustic-video fingerprinting of vehicles, part I

V. Cevher; R. Chellappa; J. H. McClellan 

2007. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, HI, Apr 15-20, 2007.

Joint acoustic-video fingerprinting of vehicles, part II

V. Cevher; F. Guo; A. C. Sankaranarayanan; R. Chellappa 

2007. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, HI, Apr 15-20, 2007.

A multi target bearing tracking system using random sampling consensus

V. Cevher; F. Shah; R. Velmurugan; J. H. McClellan 

2007. IEEE Aerospace Conference, Big Sky, MT, Mar 03-10, 2007.

A Monte-Carlo approach for tracking mobile personnel

M. Borkar; V. Cevher; J. H. McClellan 

2007. IEEE Aerospace Conference, Big Sky, MT, Mar 03-10, 2007.

Design considerations for a heterogeneous network of bearings-only sensors using sensor management

L. M. Kaplan; V. Cevher 

2007. IEEE Aerospace Conference, Big Sky, MT, Mar 03-10, 2007.

Acoustic multi target tracking using direction-of-arrival batches

V. Cevher; R. Velmurugan; J. H. McClellan 

IEEE Transactions on Signal Processing. 2007. Vol. 55, num. 6, p. 2810-2825. DOI : 10.1109/TSP.2007.893962.

Target tracking using a joint acoustic video system

V. Cevher; A. C. Sankaranarayanan; J. H. McClellan; R. Chellappa 

IEEE Transactions on Multimedia. 2007. Vol. 9, num. 4, p. 715-727. DOI : 10.1109/TMM.2007.893340.

Optimal maneuvering of seismic sensors for localization of subsurface targets

M. Alam; V. Cevher; J. H. McClellan; G. D. Larson; W. R. Scott 

IEEE Transactions on Geoscience and Remote Sensing. 2007. Vol. 45, num. 5, p. 1247-1257. DOI : 10.1109/TGRS.2007.894551.

Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks

M. Borkar; V. Cevher; J. H. McClellan 

Journal of Vlsi Signal Processing Systems for Signal Image and Video Technology. 2007. Vol. 48, num. 1-2, p. 109-125. DOI : 10.1007/s11265-006-0007-8.

Low computation and low latency algorithms for distributed sensor network initialization

M. Borkar; V. Cevher; J. H. McClellan 

Signal, Image and Video Processing. 2007. Vol. 1, num. 2, p. 133-148. DOI : 10.1007/s11760-007-0014-7.

2006

Convergence analysis for sequential Monte Carlo receivers in communications applications

S. Ozgur; V. Cevher; D. B. Williams; J. H. McClellan 

2006. IEEE DSPWorkshop, Grand Teton National Park, WY, September, 2006.

A joint radar-acoustic particle filter tracker with acoustic propagation delay compensation

V. Cevher; M. Borkar; J. H. McClellan 

2006. European Conference on Signal Processing (EUSIPCO), Florence, Italy, September, 2006.

On low-power analog implementations of particle filters for target tracking

R. Velmurugan; S. Subramanian; V. Cevher; D. Abramson; K. M. Odame et al. 

2006. European Conference on Signal Processing (EUSIPCO), Florence, Italy, September, 2006.

A range-only multiple target particle filter tracker

V. Cevher; R. Velmurugan; J. H. McClellan 

2006. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May, 2006.

Optimal experiments with seismic sensors

M. Alam; V. Cevher; J. H. McClellan 

2006. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May, 2006.

A Monte-Carlo method for initializing distributed tracking algorithms

M. Borkar; V. Cevher; J. H. McClellan 

2006. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May, 2006.

Multi target direction-of-arrival tracking using road priors

V. Cevher; R. Velmurugan; J. H. McClellan 

2006. IEEE Aerospace Conference, Big Sky, MT, March, 2006.

Acoustic node calibration using moving sources

V. Cevher; J. H. McClellan 

IEEE Transactions on Aerospace and Electronic Systems. 2006. Vol. 42, num. 2, p. 585-600. DOI : 10.1109/TAES.2006.1642574.

2005

An acoustic multiple target tracker

V. Cevher; J. H. McClellan 

2005. IEEE Statistical Signal Processing Conference (SSP), Bordeaux, France, July, 2005.

Estimating target state distributions in a distributed sensor network using a Monte-Carlo approach

V. Cevher; J. H. McClellan; M. Borkar 

2005. IEEEWorkshop on Machine Learning for Signal Processing (MLSP), Mystic, CT, September, 2005.

Proposal strategies for joint state-space tracking with particle filters

J. H. McClellan; V. Cevher 

2005. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, PA, March 18-23, 2005.

General direction-of-arrival tracking with acoustic nodes

V. Cevher; J. H. McClellan 

IEEE Transactions on Signal Processing. 2005. Vol. 53, num. 1, p. 1-12. DOI : 10.1109/TSP.2004.838947.

2004

Vehicle tracking using acoustic and video sensors

A. C. Sankaranayanan; Q. Zheng; R. Chellappa; V. Cevher; J. H. McClellan et al. 

2004. Army Science Conference (ASC), Orlando, FL, November, 2004.

Acoustic node calibration using helicopter sounds and Monte Carlo markov chain methods

J. H. McClellan; V. Cevher 

2004. IEEE DSP Workshop, Taos Ski Valley, NM, August, 2004.

Fast initialization of particle filters using a modified Metropolis-Hastings algorithm: Mode-hungry approach

J. H. McClellan; V. Cevher 

2004. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, May, 2004.

2002

Wavelet packet best basis search using generalized Renyi entropy

R. M. Dansereau; W. Kinsner; V. Cevher 

2002. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Canada, 2002.

Tracking of multiple wideband targets using passive sensor arrays and particle filters

J. H. McClellan; V. Cevher 

2002. IEEE DSP Workshop, Callaway Gardens, GA, October, 2002.

2-D sensor position perturbation analysis: Equivalence to AWGN on array outputs

J. H. McClellan; V. Cevher 

2002. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Washington DC, August, 2002.

Wavelet packet best basis search using generalized Renyi entropy

W. Kinsner; V. Cevher; R. M. Dansereau 

2002.  p. 1005-1008.

2001

Sensor array calibration via tracking with the extended Kalman filter

V. Cevher; J. H. McClellan 

2001. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Salt Lake City, Utah, USA, May 2001.