LIONS publications
2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020-11-05
An AC-Coupled Wideband Neural Recording Front-End With Sub-1 mm2×fJ/conv-step Efficiency and 0.97 NEF
IEEE Solid-State Circuits Letters. 2020-08-04. Vol. 3, p. 258-261. DOI : 10.1109/LSSC.2020.3013993.Finding Second-Order Stationary Points in Constrained Minimization: A Feasible Direction Approach
Journal Of Optimization Theory And Applications. 2020-07-11. DOI : 10.1007/s10957-020-01713-x.Lipschitz constant estimation for Neural Networks via sparse polynomial optimization
2020-04-26. 8th International Conference on Learning Representations, Addis Ababa, ETHIOPIA, April 26-30, 2020.A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators
Set-valued and Variational analysis. 2020-03-19. DOI : 10.1007/s11228-020-00542-4.Convergence without Convexity: Sampling, Optimization, and Games
Lausanne, EPFL, 2020.Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
Journal of Machine Learning Research. 2020. Vol. 21, num. 147, p. 1-63.Random extrapolation for primal-dual coordinate descent
2020. Thirty-seventh International Conference on Machine Learning – ICML 2020, Vienna, Austria, July 13-18, 2020.Conditional gradient methods for stochastically constrained convex minimization
2020. 37th International Conference on Machine Learning (ICML), virtual, July 12-18, 2020.Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
2020. 37th International Conference on Machine Learning (ICML), virtual, July 12-18, 2020.A new regret analysis for Adam-type algorithms
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.Adaptive Gradient Descent without Descent
2020. 37th International Conference on Machine Learning (ICML 2020), Virtual , July 12-18, 2020.Double-Loop Unadjusted Langevin Algorithm
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.Scalable Learning-Based Sampling Optimization For Compressive Dynamic MRI
2020. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020.Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections
Journal of Machine Learning Research. 2020. Vol. 21, num. 20, p. 1-44.Scalable Semidefinite Programming
SIAM Journal on Mathematics of Data Science (SIMODS). 2020.2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning
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
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
Physics In Medicine And Biology. 2019-08-01. Vol. 64, num. 16, p. 165018. DOI : 10.1088/1361-6560/ab3525.Chemical machine learning with kernels: The impact of loss functions
International Journal Of Quantum Chemistry. 2019-05-05. Vol. 119, num. 9, p. e25872. DOI : 10.1002/qua.25872.Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling
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
SIAM Conference on Optimization – OP17, Vancouver, British Columbia, Canada, May 22-25, 2017.On the convergence of stochastic primal-dual hybrid gradient
2019
An adaptive primal-dual framework for nonsmooth convex minimization
Mathematical Programming Computation. 2019. DOI : 10.1007/s12532-019-00173-3.Data-driven Measurement Designs for Magnetic Resonance Imaging
Lausanne, EPFL, 2019.Streaming Low-Rank Matrix Approximation With An Application To Scientific Simulation
SIAM Journal on Scientific Computing. 2019-01-01. Vol. 41, num. 4, p. A2430-A2463. DOI : 10.1137/18M1201068.Stochastic Frank-Wolfe for Composite Convex Minimization
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
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
2019. 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 8-14, 2019.UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.Scalable Convex Optimization Methods for Semidefinite Programming
Lausanne, EPFL, 2019.Sparse Inverse Problems Over Measures: Equivalence Of The Conditional Gradient And Exchange Methods
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
Journal Of Machine Learning Research. 2019-01-01. Vol. 20.A 161mW 56Gb/s ADC-Based Discrete Multitone Wireline Receiver Data-Path in 14nm FinFET
2019-01-01. IEEE International Solid- State Circuits Conference (ISSCC), San Francisco, CA, Feb 17-21, 2019. p. 476-+.On Certifying Non-Uniform Bounds against Adversarial Attacks
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
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.
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.A Conditional Gradient-Based Augmented Lagrangian Framework
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Almost surely constrained convex optimization
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Rethinking Sampling in Parallel MRI: A Data-Driven Approach
2019. 27th European Signal Processing Conference (EUSIPCO), Coruña, Spain, September 2-6, 2019.Overlapping Multi-Bandit Best Arm Identification
2019. The 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 7-12, 2019. p. 2544-2548. DOI : 10.1109/ISIT.2019.8849327.Iterative Classroom Teaching
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
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
Lausanne, EPFL, 2019.An Introductory Guide to Fano’s Inequality with Applications in Statistical Estimation
Information-Theoretic Methods in Data Science; Cambridge University Press, 2019.2018
Convergence of the Exponentiated Gradient Method with Armijo Line Search
Journal of Optimization Theory and Applications. 2018-12-03. DOI : 10.1007/s10957-018-1428-9.A Single-Phase, Proximal Path-Following Framework
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
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
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
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
2018-09-03
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
2018-07-11. the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.Online Adaptive Methods, Universality and Acceleration
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
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
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
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
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
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
2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.Online Adaptive Methods, Universality and Acceleration
2018-01-01. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.Mirrored Langevin Dynamics
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
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
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
Large-Scale and Distributed Optimization; Springer, 2018.Generalization properties of doubly stochastic learning algorithms
JOURNAL OF COMPLEXITY. 2018. Vol. 47, p. 42-61. DOI : 10.1016/j.jco.2018.02.004.Adversarially Robust Optimization with Gaussian Processes
2018. Conference on Neural Information Processing Systems (NIPS), Montreal, 2018.Finding Mixed Nash Equilibria of Generative Adversarial Networks
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
2018. 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, September 3-7. 2018. DOI : 10.23919/EUSIPCO.2018.8553402.Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants
2018. 1st International Symposium on Integrated Circuits and Systems (ISICAS), Taormina, Italy, September 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
2018. ACM International Conference on Computing Frontiers 2018, Ischia, Italy, May 8-10, 2018.Learning-Based Hardware Design for Data Acquisition Systems
Lausanne, EPFL, 2018.Learning without Smoothness and Strong Convexity
Lausanne, EPFL, 2018.Learning with Structured Sparsity: From Discrete to Convex and Back.
EPFL, 2018.Learning-Based Compressive MRI
IEEE Transactions On Medical Imaging. 2018. Vol. 37, num. 6, p. 1394-1406. DOI : 10.1109/TMI.2018.2832540.Mirrored Langevin Dynamics
2018. Thirty-second Conference on Neural Information Processing Systems (NIPS), Montréal,Dimension-free Information Concentration via Exp-Concavity
2018. Algorithmic Learning Theory (ALT) 2018, Lanzarote, Spain, April 7-9, 2018.Robust Maximization of Non-Submodular Objectives
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
2018. AISTATS, Lanzarote, Spain, April, 9-11, 2018.Stochastic Three-Composite Convex Minimization with a Linear Operator
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
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
2018
An Eight lanes 7Gb/s/pin Source Synchronous Single-Ended RX with Equalization and Far-End Crosstalk Cancellation for Backplane Channels
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
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
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
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
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
2017. Conference on Neural Information Processing Systems (NIPS), Long Beach,Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
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
2017. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).Phase Transitions in the Pooled Data Problem
2017. Conference on Neural Information Processing Systems (NIPS), Long Beach, California, December 2017.Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework
IEEE Journal of Selected Topics in Signal Processing. 2017.Combinatorial Penalties: Which structures are preserved by convex relaxations?
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
2017.Smoothing technique for nonsmooth composite minimization with linear operator
Preprint. 2017.Robust Submodular Maximization: A Non-Uniform Partitioning Approach
2017. The 34th International Conference on Machine Learning (ICML), Sydney, 2017.Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
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
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
2017. ACM Symposium on Theory of Computing (STOC), Montreal, June 19-23, 2017.Faster Coordinate Descent via Adaptive Importance Sampling
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
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?
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
Mathematics of Operations Research. 2017.Lower Bounds on Active Learning for Graphical Model Selection
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
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
2016. The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS).Stochastic Three-Composite Convex Minimization
2016. 30th Conference on Neural Information Processing Systems (NIPS2016), Barcelona, Spain, December 5-10, 2016.Randomized Single-View Algorithms for Low-Rank Matrix Approximation
2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
2016. Conference on Neural Information Processing Systems (NIPS), Barcelona, December 5-10, 2016.Convex block-sparse linear regression with expanders – provably
2016. The 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), Cadiz, Spain, May 7-11, 2016.Estimation Error of the Constrained Lasso
2016. 54th Annu. Allerton Conf. Communication, Control, and Computing, Monticello, IL, September 27-30, 2016.Learning Data Triage: Linear Decoding Works for Compressive MRI
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
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
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
2016. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain, May 9 – 11, 2016.Partial Recovery Bounds for the Sparse Stochastic Block Model
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
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
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
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
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
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
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
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
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
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
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
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
2015. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 13-16, 2015.Scalable Convex Methods for Phase Retrieval
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
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
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
2015. 29-th Neural Information Processing Systems (NIPS), 2015.Second-Order Asymptotics for the Discrete Memoryless MAC with Degraded Message Sets
2015. IEEE International Symposium on Information Theory, Hong Kong,Refinements of the Third-Order Term in the Fixed Error Asymptotics of Constant-Composition Codes
2015. IEEE International Symposium on Information Theory, Hong Kong,An optimal first-order primal-dual gap reduction framework for constrained convex optimization
2015
Splitting the Smoothed Primal-Dual Gap: Optimal Alternating Direction Methods
2015
A Primal-dual Framework For Mixtures Of Regularisers
2015. 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, August 31 – September 4 2015.Sparse Group Covers and Greedy Tree Approximations
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
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
2015. Symposium on VLSI Circuits, Kyoto, Japan, June 15-19, 2015.Composite convex minimization involving self-concordant-like cost functions
Tech. Report. 2015.A Geometric View on Constrained M-Estimators
2015
Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression
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
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
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
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
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
2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, USA, May 9-12, 2015.Stochastic Spectral Descent for Restricted Boltzmann Machines.
2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, USA, May 9-12, 2015.Sparsistency of $\ell_1$-Regularized $M$-Estimators
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
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
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
2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, California, USA, May 9 – 12, 2015.Composite Self-Concordant Minimization
Journal of Machine Learning Research. 2015. Vol. 16, p. 371-416.2014
Approximate Matrix Multiplication with Application to Linear Embeddings
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
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
IEEE Transactions on Signal Processing. 2014. Vol. 62, num. 22, p. 5839-5853. DOI : 10.1109/TSP.2014.2357776.Convex Optimization for Big Data
IEEE Signal Processing Magazine. 2014. Vol. 31, num. 5, p. 32-43. DOI : 10.1109/MSP.2014.2329397.Time–Data Tradeoffs by Aggressive Smoothing
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
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
Lausanne, EPFL, 2014.Constrained convex minimization via model-based excessive gap
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
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
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
2014
A variational approach to stable principal component pursuit
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
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
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
Machine Learning. 2014. Vol. 94, num. 3, p. 303-351. DOI : 10.1007/s10994-013-5366-3.Barrier Smoothing for Nonsmooth Convex Minimization
2014. IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 4-9, 2014.Metric Learning with Rank and Sparsity Constraints
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
2014. IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 4-9.Matrix Recipes for Hard Thresholding Methods
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
Siam Journal On Optimization. 2014. Vol. 24, num. 4, p. 1718-1745. DOI : 10.1137/130944539.Model-based Sketching and Recovery with Expanders
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
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
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
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
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
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
IEEE Signal Processing Magazine. 2013. Vol. 31, num. 3, p. 87-95. DOI : 10.1109/MSP.2013.2296605.Accelerated And Inexact Forward-Backward Algorithms
Siam Journal On Optimization. 2013. Vol. 23, num. 3, p. 1607-1633. DOI : 10.1137/110844805.High-Dimensional Gaussian Process Bandits
2013. Neural Information Processing Systems, Lake Tahoe, Nevada, December 5-8, 2013.Manifold Sparse Beamforming
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
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
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
2013. 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013.Randomized Low-Memory Singular Value Projection
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
2013. 30th International Conference on Machine Learning, Atlanta, GA, USA, June 16-19, 2013.2012
Filtered Variation method for denoising and sparse signal processing
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
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
IEEE Signal Processing Letters. 2012. Vol. 19, num. 11, p. 757-760. DOI : 10.1109/Lsp.2012.2210872.Hard Thresholding with Norm Constraints
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
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
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
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
US9689959; US2013096922.
2012.