LIONS publications
2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation
2023-09-21. Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, Louisiana, USA, December 10-16, 2023.End-to-end kernel learning via generative random Fourier features
Pattern Recognition. 2023-02-01. Vol. 134, p. 109057. DOI : 10.1016/j.patcog.2022.109057.Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Benign Overfitting in Deep Neural Networks under Lazy Training
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.What can online reinforcement learning with function approximation benefitfrom general coverage conditions
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Universal and adaptive methods for robust stochastic optimization
Lausanne, EPFL, 2023.Robust Training and Verification of Deep Neural Networks
Lausanne, EPFL, 2023.Adversarial Training Should Be Cast As a Non-Zero-Sum Game
2023
When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 23-29, 2023.Federated Learning under Covariate Shifts with Generalization Guarantees
Transactions on Machine Learning Research. 2023. num. 06.Augmented Lagrangian Methods for Provable and Scalable Machine Learning
Lausanne, EPFL, 2023.Regularization of polynomial networks for image recognition
2023. Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 18-22 June, 2023.Improving Generalization of Pretrained Language Models
Lausanne, EPFL, 2023.Distributed Extra-Gradient With Optimal Complexity And Communication Guarantees
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Finding Actual Descent Directions For Adversarial Training
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.DiGress: Discrete Denoising diffusion for graph generation
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Solving stochastic weak Minty variational inequalities without increasing batch size
11th International Conference on Learning Representations ICLR2023, Kigali, Rwanda, May 1-5, 2023.Revisiting adversarial training for the worst-performing class
Transactions on Machine Learning Research. 2023.2022
A Computational Turn in Policy Process Studies: Coevolving Network Dynamics of Policy Change
Complexity. 2022-04-13. Vol. 2022, p. 8210732. DOI : 10.1155/2022/8210732.ADAGRAD Avoids Saddle Points
2022-01-01. 38th International Conference on Machine Learning (ICML), Baltimore, MD, Jul 17-23, 2022. p. 731-771.A Natural Actor-Critic Framework for Zero-Sum Markov Games
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 – December 9, 2022.Augmenting Deep Classifiers with Polynomial Neural Networks
2022-01-01. 17th European Conference on Computer Vision (ECCV), Tel Aviv, ISRAEL, Oct 23-27, 2022. p. 692-716. DOI : 10.1007/978-3-031-19806-9_40.Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.Extra Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisianna, USA, November 28-December 9, 2022.Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.Predicting in Uncertain Environments: Methods for Robust Machine Learning
Lausanne, EPFL, 2022.Generalization Properties of NAS under Activation and Skip Connection Search
2022. 36th Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
2022. 36th Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.On the Double Descent of Random Features Models Trained with SGD
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 – December 3, 2022.Understanding Deep Neural Function Approximation in Reinforcement Learning via ϵ-Greedy Exploration
2022. Thirty-sixth Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.Proximal Point Imitation Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.Sound and Complete Verification of Polynomial Networks
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.On The Convergence Of Stochastic Primal-Dual Hybrid Gradient
Siam Journal On Optimization. 2022-01-01. Vol. 32, num. 2, p. 1288-1318. DOI : 10.1137/19M1296252.Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
2022. 38th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.Learning to sample in Cartesian MRI
Lausanne, EPFL, 2022.A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS
IEEE Journal of Solid-State Circuits. 2022. p. 1-1. DOI : 10.1109/JSSC.2022.3161296.Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
2022. 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), [ Virtual only] Valencia, Spain, March 28-30, 2022.High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.The spectral bias of polynomial neural networks
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
2022. 10th International Conference on Learning Representations (ICLR 2022), Virtual, April 25-29, 2022.A Newton Frank-Wolfe method for constrained self-concordant minimization
Journal Of Global Optimization. 2022. Vol. 83, p. 273–299. DOI : 10.1007/s10898-021-01105-z.2021
Filling gaps in trustworthy development of AI
Science. 2021-12-10. Vol. 374, num. 6573, p. 1327-1329. DOI : 10.1126/science.abi7176.Forward-reflected-backward method with variance reduction
Computational Optimization and Applications. 2021-08-19. Vol. 80, p. 321–346. DOI : 10.1007/s10589-021-00305-3.A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS
2021-05-17. 2021 IEEE Custom Integrated Circuits Conference (CICC), Virtual, April 25-30, 2021. DOI : 10.1109/CICC51472.2021.9431458.Tensor Methods in Computer Vision and Deep Learning
Proceedings Of The Ieee. 2021-05-01. Vol. 109, num. 5, p. 863-890. DOI : 10.1109/JPROC.2021.3074329.Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials
2021-01-01. 18th IEEE/CVF International Conference on Computer Vision (ICCV), ELECTR NETWORK, Oct 11-17, 2021. p. 10498-10508. DOI : 10.1109/ICCV48922.2021.01035.An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity
Siam Journal On Optimization. 2021-01-01. Vol. 31, num. 4, p. 2695-2725. DOI : 10.1137/19M1244603.Unsupervised Controllable Generation with Self-Training
2021-01-01. International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, China, Jul 18-22, 2021. DOI : 10.1109/IJCNN52387.2021.9534045.A Plug-and-Play Deep Image Prior
2021. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021. DOI : 10.1109/ICASSP39728.2021.9414879.Sifting through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities
2021. NeurIPS 2021 : Thirty-fifth Conference on Neural Information Processing Systems, Sydney, Australia [Virtual only], December 6-14, 2021.Convergence of adaptive algorithms for constrained weakly convex optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.A first-order primal-dual method with adaptivity to local smoothness
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Subquadratic Overparameterization for Shallow Neural Networks
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
2021-01-01. International Conference on Machine Learning (ICML), ELECTR NETWORK, Jul 18-24, 2021.Asynchronous sar adc with unit length capacitors and constant common mode monotonic switching
WO2021161163.
2021.Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond
Lausanne, EPFL, 2021.Resource Trade-Offs in Circuits and Systems: from Neurotechnology to Communications
Lausanne, EPFL, 2021.Kernel Conjugate Gradient Methods with Random Projections
Applied and Computational Harmonic Analysis. 2021. Vol. 55, p. 223-269. DOI : 10.1016/j.acha.2021.05.004.Sparse non-negative super-resolution – simplified and stabilised
Applied And Computational Harmonic Analysis. 2021-01-01. Vol. 50, p. 216-280. DOI : 10.1016/j.acha.2019.08.004.The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
2021. 38th International Conference on Machine Learning (ICML 2021), Online, July 18-24, 2021. p. 4337-4348.A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators
Set-valued and Variational analysis. 2021. Vol. 29, p. 163–174. DOI : 10.1007/s11228-020-00542-4.Scalable Semidefinite Programming
SIAM Journal on Mathematics of Data Science. 2021. Vol. 3, num. 1, p. 171–200. DOI : 10.1137/19M1305045.An Introductory Guide to Fano’s Inequality with Applications in Statistical Estimation
Information-Theoretic Methods in Data Science; Cambridge University Press, 2021. p. 487-528.2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020-11-05
MOSES: A Streaming Algorithm for Linear Dimensionality Reduction
Ieee Transactions On Pattern Analysis And Machine Intelligence. 2020-11-01. Vol. 42, num. 11, p. 2901-2911. DOI : 10.1109/TPAMI.2019.2919597.Amphiphilic gold nanoparticles perturb phase separation in multidomain lipid membranes
Nanoscale. 2020-10-14. Vol. 12, num. 38, p. 19746-19759. DOI : 10.1039/d0nr05366j.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. Vol. 186, p. 480–503. DOI : 10.1007/s10957-020-01713-x.Machine Learning From Distributed, Streaming Data [From the Guest Editors]
Ieee Signal Processing Magazine. 2020-05-01. Vol. 37, num. 3, p. 11-13. DOI : 10.1109/MSP.2020.2972654.Optimization for Reinforcement Learning: From a single agent to cooperative agents
Ieee Signal Processing Magazine. 2020-05-01. Vol. 37, num. 3, p. 123-135. DOI : 10.1109/MSP.2020.2976000.On quantifying the quality of acoustic models in hybrid DNN-HMM ASR
Speech Communication. 2020-05-01. Vol. 119, p. 24-35. DOI : 10.1016/j.specom.2020.03.001.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.On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
2020. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, December 6-12, 2020.Principal Component Analysis By Optimization Of Symmetric Functions Has No Spurious Local Optima
Siam Journal On Optimization. 2020-01-01. Vol. 30, num. 1, p. 439-463. DOI : 10.1137/18M1188495.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.Generating Sparse Stochastic Processes Using Matched Splines
Ieee Transactions On Signal Processing. 2020-01-01. Vol. 68, p. 4397-4406. DOI : 10.1109/TSP.2020.3011632.Random extrapolation for primal-dual coordinate descent
2020. 37th International Conference on Machine Learning (ICML 2020), Online, 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 13-18, 2020.A new regret analysis for Adam-type algorithms
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 13-18, 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. p. 8584-8588. DOI : 10.1109/ICASSP40776.2020.9053345.Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections
Journal of Machine Learning Research. 2020. Vol. 21, num. 20, p. 1-44.An adaptive primal-dual framework for nonsmooth convex minimization
Mathematical Programming Computation. 2020. Vol. 12, p. 451–491. DOI : 10.1007/s12532-019-00173-3.Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces
Applied and Computational Harmonic Analysis. 2020. Vol. 48, num. 3, p. 868-890. DOI : 10.1016/j.acha.2018.09.009.2019
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. p. 2692–2700.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.A 4.8pJ/b 6Gb/s ADC-Based PAM-4 Wireline Receiver Data -Path with Cyclic Prefix in 14nm FinFET
2019-01-01. 15th IEEE Asian Solid-State Circuits Conference (A-SSCC), Macao, PEOPLES R CHINA, Nov 04-06, 2019. p. 239-240. DOI : 10.1109/A-SSCC47793.2019.9056940.A 24 kb Single-Well Mixed 3T Gain-Cell eDRAM with Body-Bias in 28 nm FD-SOI for Refresh-Free DSP Applications
2019-01-01. 15th IEEE Asian Solid-State Circuits Conference (A-SSCC), Macao, PEOPLES R CHINA, Nov 04-06, 2019. p. 219-222. DOI : 10.1109/A-SSCC47793.2019.9056985.On the convergence of stochastic primal-dual hybrid gradient
2019
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. 33rd Conference on Neural Information Processing Systems (NeurIPS), 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. 476-478. DOI : 10.1109/ISSCC.2019.8662505.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. DOI : 10.23919/EUSIPCO.2019.8903150.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. DOI : 10.1609/aaai.v33i01.33015684.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.Convergence of the Exponentiated Gradient Method with Armijo Line Search
Journal of Optimization Theory and Applications. 2019. Vol. 181, p. 588–607. DOI : 10.1007/s10957-018-1428-9.2018
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
Generalization of Referenceless Timing Mismatch Calibration Methods for Time-Interleaved ADCs
2018-08-09. 2018 14th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), Prague, Czech Republic, July 2-5, 2018. DOI : 10.1109/PRIME.2018.8430340.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. p. 6500-6509.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. DOI : 10.1109/ISIT.2018.8437667.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.Adversarially Robust Optimization with Gaussian Processes
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. p. 228–231. DOI : 10.1145/3203217.3203260.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, p. 2878-2887.Dimension-free Information Concentration via Exp-Concavity
2018. Algorithmic Learning Theory (ALT) 2018, Lanzarote, Spain, April 7-9, 2018. p. 451-469.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.A single-phase, proximal path-following framework
Mathematics of Operations Research. 2018. Vol. 43, num. 4, p. 1326-1347. DOI : 10.1287/moor.2017.0907.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). DOI : 10.1109/CAMSAP.2017.8313155.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
ArXiv. 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. p. 702–715. DOI : 10.1145/3055399.3055462.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. DOI : 10.1109/ICASSP.2017.7953326.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. p. 4329-4337.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. p. 19-27.Estimation Error of the Constrained Lasso
2016. 54th Annual Allerton Conf. Communication, Control, and Computing, Monticello, IL, September 27-30, 2016. p. 433-438. DOI : 10.1109/ALLERTON.2016.7852263.Learning Data Triage: Linear Decoding Works for Compressive MRI
2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing. p. 4034-4038. DOI : 10.1109/ICASSP.2016.7472435.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. DOI : 10.1109/ICASSP.2016.7472875.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. DOI : 10.1109/ISIT.2016.7541630.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. DOI : 10.1109/ISIT.2016.7541823.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. p. 40-53. DOI : 10.1137/1.9781611974331.ch4.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. p. 155–168. DOI : 10.1007/978-3-319-18161-5_14.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. p. 269-272. DOI : 10.1109/CAMSAP.2015.7383788.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. p. 381-384. DOI : 10.1109/CAMSAP.2015.7383816.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, p. 2964-2968. DOI : 10.1109/ISIT.2015.7283000.Refinements of the Third-Order Term in the Fixed Error Asymptotics of Constant-Composition Codes
2015. IEEE International Symposium on Information Theory, Hong Kong, p. 2954-2958. DOI : 10.1109/ISIT.2015.7282998.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. p. 240-244. DOI : 10.1109/EUSIPCO.2015.7362381.Sparse Group Covers and Greedy Tree Approximations
2015. 2015 IEEE Internation Symposium on Information Theory, Hong Kong, China, June 14-19, 2015. p. 551-555. DOI : 10.1109/ISIT.2015.7282515.Limits on Support Recovery with Probabilistic Models: An Information-Theoretic Framework
2015. International Symposium on Information Theory, Hong Kong, June 2015. p. 2331-2335. DOI : 10.1109/ISIT.2015.7282872.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. p. C228-C229. DOI : 10.1109/VLSIC.2015.7231267.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. p. 3606-3610. DOI : 10.1109/ICASSP.2015.7178643.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. p. 3332-3336. DOI : 10.1109/ICASSP.2015.7178588.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. p. 2189-2193. DOI : 10.1109/ICASSP.2015.7178359.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. p. 912-920.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. DOI : 10.1109/ISIT.2014.6875220.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. DOI : 10.1109/MLSP.2014.6958846.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. DOI : 10.1609/aaai.v28i1.8960.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. p. 1503-1507. DOI : 10.1109/ICASSP.2014.6853848.Metric Learning with Rank and Sparsity Constraints
2014. IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 4-9, 2014. p. 21-25. DOI : 10.1109/ICASSP.2014.6853550.Model-based Sparse Component Analysis for Reverberant Speech Localization
2014. IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 4-9. p. 1439-1443. DOI : 10.1109/ICASSP.2014.6853835.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. p. 6585-6589. DOI : 10.1109/ICASSP.2013.6638935.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. p. 271-279.2012
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
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