Time-Data Trade-Offs in Resource-Constrained Information and Inference Systems

Publications

Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration

Auteurs: Fanghui Liu, Luca Viano, Volkan Cevher
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28-december 9, 2022, 2022
Éditeur: NeurIPS

Proximal Point Imitation Learning

Auteurs: Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28-December 9, 2022, 2022, ISBN 9781713871088
Éditeur: NeurIPS

Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods

Auteurs: Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28-December 9, 2022, 2022
Éditeur: NeurIPS

Finding Actual Descent Directions for Adversarial Training

Auteurs: Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher.
Publié dans: Proceedings of the Eleventh International Conference on Learning Representations, Numéro 1-5May, 2023, 2023
Éditeur: ICLR

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics

Auteurs: K. Parameswaran, Y-T. Huang, Y-P. Hsieh, P. Rolland, C. Shi and V. Cevher
Publié dans: Conference on Neural Information Processing Systems (NeurIPS), Numéro 6-12 December, 2020, 2020
Éditeur: NeurIPS

Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach

Auteurs: N. Hallak, P. Mertikopoulos, and V. Cevher
Publié dans: International Conference On Machine Learning (ICML), Numéro 18-24 July, 2021, 2021
Éditeur: PMLR

Conditional gradient methods for stochastically constrained convex minimization

Auteurs: M-L. Vladarean, A. Alacaoglu, Y-P. Hsieh and V. Cevher
Publié dans: International Conference on Machine Learning (ICML), Numéro 13-18 July, 2020, 2020
Éditeur: PMLR

Escaping limit cycles: Global convergence for constrained nonconvexnonconcave minimax problems

Auteurs: T. Pethick, P. Latafat, P. Patrinos, O. Fercoq, and V. Cevher
Publié dans: International Conference on Learning Representations (ICLR), Numéro 25-29 April, 2022, 2022
Éditeur: IEEE

No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation

Auteurs: Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28-December 9, 2022, 2022
Éditeur: NeurIPS

Distributed Extra-gradient with Optimal Complexity and Communication Guarantees

Auteurs: Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher.
Publié dans: Proceedings of Eleventh International Conference on Learning Representations, Numéro 1-5 May, 2023, 2023
Éditeur: ICLR

Sound and Complete Verification of Polynomial Networks

Auteurs: Elias Abad Rocamora Mehmet Fatih Sahin, Fanghui Liu, Grigoriso Chrysos, Volkan Cevher
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28 - December 9, 2022, 2022
Éditeur: NeurIPS

DiGress: Discrete Denoising diffusion for graph generation

Auteurs: Clement Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard
Publié dans: Proceedings of the Eleventh International Conference on Learning Representations, Numéro 1-5 May, 2023, 2023
Éditeur: ICLR

On the Double Descent of Random Features Models Trained with SGD

Auteurs: Fanghui Liu, Johan Suykens, Volkan Cevher
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28-December 3, 2022, 2022
Éditeur: NeurIPS

STORM+: fully adaptive SGD with Recursive Momentum for Nonconvex Optimization,

Auteurs: K.Y. Levy, A. Kavis, and V. Cevher
Publié dans: Conference on Neural Information Processing Systems (NeurIPS), Numéro 6-14 December, 2021, 2021
Éditeur: NeurIPS

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets

Auteurs: Z. Zhu, F. Latorre, G. Chrysos, and V. Cevher
Publié dans: International Conference on Learning Representations (ICLR), Numéro 25-29 April, 2022, 2022
Éditeur: IEEE

Random extrapolation for primal-dual coordinate descent

Auteurs: A. Alacaoglu, O. Fercoq and V. Cevher
Publié dans: International Conference on Machine Learning (ICML), Numéro 13-18 July, 2020, 2020
Éditeur: PMLR

High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize

Auteurs: Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
Publié dans: International Conference on Learning Representations (ICLR), Numéro 25-29 April 2022, 2022
Éditeur: IEEE

Convergence of adaptive algorithms for constrained weakly convex optimization,

Auteurs: A. Alacaoglu, Y. Malitsky, and V. Cevher
Publié dans: Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Numéro 6-14 December, 2021, 2021, ISBN 9781713845393
Éditeur: NeurIPS

The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers

Auteurs: F. Latorre, L.T. Dadi, P. Rolland, and V. Cevher
Publié dans: Conference on Neural Information Processing Systems (NeurIPS), Numéro 6-14 December, 2021, 2021
Éditeur: NeurIPS

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems

Auteurs: P. Mertikopoulos, N. Hallak, A. Kavis, and V. Cevher
Publié dans: Conference on Neural Information Processing Systems (NeurIPS), Numéro 6-12 December, 2020, 2020
Éditeur: NeurIPS

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models

Auteurs: Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello
Publié dans: Proceedings of the 39th International Conference on Machine Learning, PMLR, Numéro Volume 162, 2022, Page(s) 18741-18753
Éditeur: ML Research Press

Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning

Auteurs: Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28-December 9, 2022, 2022
Éditeur: NeurIPS

Subquadratic Overparameterization for Shallow Neural Networks

Auteurs: C. Song, A. Ramezani-Kebrya, T. Pethick, A. Eftekhari, and V. Cevher
Publié dans: Conference on Neural Information Processing Systems (NeurIPS), Numéro 6-14 December, 2021, 2021
Éditeur: NeurIPS

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

Auteurs: Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28-December 3, 2022, 2022
Éditeur: NeurIPS

A first order primal-dual method with adaptivity to local Lipschitz smoothness

Auteurs: M-L. Vladarean, Y. Malitsky, and V. Cevher
Publié dans: Conference on Neural Information Processing Systems (NeurIPS), Numéro 6-14 December, 2021, 2021
Éditeur: NeurIPS

Generalization Properties of NAS under Activation and Skip Connection Search

The Spectral Bias of Polynomial Neural Networks

Auteurs: Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
Publié dans: International Conference on Learning Representations (ICLR), Numéro 25-29 April, 2022, 2022
Éditeur: IEEE

The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets

Auteurs: Y-P. Hsieh, P. Mertikopoulos, and V. Cevher
Publié dans: International Conference On Machine Learning (ICML), Numéro 18-24 July, 2021, 2021
Éditeur: PMLR

Solving stochastic weak Minty variational inequalities without increasing batch size

Auteurs: Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher.
Publié dans: Proceedings of the Eleventh International Conference on Learning Representations, Numéro 1-5 May 2023, 2023
Éditeur: ICLR

Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games

Auteurs: Kangarshahi, Ehsan Asadi; Hsieh, Ya-Ping; Sahin, Mehmet Fatih; Cevher, Volkan
Publié dans: Proceedings of the 35th International Conference on Machine Learning, Numéro once a year, 2018
Éditeur: PMRL (Proceedings of Machine Learning Research)

Mirrored Langevin Dynamics

Auteurs: Hsieh, Ya-Ping; Kavis, Ali; Rolland, Paul; Cevher, Volkan
Publié dans: Conference on Neural Information Processing Systems 2018, Numéro once a year, 2018
Éditeur: NIPS

Online Adaptive Methods, Universality and Acceleration

Auteurs: Levy, Kfir Y.; Yurtsever, Alp; Cevher, Volkan
Publié dans: Proceedings of the Conference on Neural Information Processing Systems conference (NIPS 2018), Numéro once a year, 2018
Éditeur: NIPS

Adversarially Robust Optimization with Gaussian Processes

Auteurs: Bogunovic, Ilija ; Scarlett, Jonathan ; Jegelka, Stefanie ; Cevher, Volkan
Publié dans: Proceedings of the Conference on Neural Information Processing Systems (NIPS), Numéro once a year, 2018
Éditeur: NIPS

Robust Maximization of Non-Submodular Objectives

Auteurs: Bogunovic, Ilija; Zhao, Junyao; Cevher, Volkan
Publié dans: Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), Numéro once a year, 2018
Éditeur: Machine Learning Research

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

Auteurs: Rolland, Paul; Scarlett, Jonathan; Bogunovic, Ilija; Cevher, Volkan
Publié dans: Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), Numéro once a year, 2018
Éditeur: Machine Learning Research

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach

Auteurs: Mitrović, Slobodan; Bogunovic, Ilija; Norouzi-Fard, Ashkan; Tarnawski, Jakub; Cevher, Volkan
Publié dans: Proceedings of the Conference on Neural Information Processing Systems (NIPS), Numéro once a year, 2017
Éditeur: NIPS

Dimension-free Information Concentration via Exp-Concavity

Auteurs: Hsieh, Ya-Ping; Cevher, Volkan
Publié dans: Proceedings of the conference of Algorithmic Learning Theory (ALT), Numéro once a year, 2018
Éditeur: ALT

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

Auteurs: Yurtsever, Alp; Fercoq, Olivier; Locatello, Francesco; Cevher, Volkan
Publié dans: Proceedings of the 35th International Conference on Machine Learning (ICML), Numéro once a year, 2018
Éditeur: Proceedings of Machine Learning Research

Real-time DCT Learning-based Reconstruction of Neural Signals

Auteurs: Rabeeh Karimi Mahabadi, Cosimo Aprile, Volkan Cevher
Publié dans: Proceeding of the European Signal Processing Conference (EUSIPCO 2018), Numéro once a year, 2018
Éditeur: IEEE

Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization

Auteurs: Alacaoglu Ahmet, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
Publié dans: Proceedings of the Conference on Neural Information Processing Systems (NIPS 2017),, Numéro once a year, 2017
Éditeur: NIPS

Near-Optimal Noisy Group Testing via Separate Decoding of Items

Auteurs: Jonathan Scarlett, Volkan Cevher
Publié dans: 2018 IEEE International Symposium on Information Theory (ISIT), Numéro once a year, 2018, Page(s) 2311-2315, ISBN 978-1-5386-4781-3
Éditeur: IEEE
DOI: 10.1109/isit.2018.8437667

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

Auteurs: Junhong Lin, Volkan Cevher
Publié dans: Proceedings of the International Conference on Machine Learning (ICML 2018), Numéro once a year, 2018
Éditeur: PMLR

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

Auteurs: Cosimo Aprile, Wüthrich, Johannes, Baldassarre, Luca , Leblebici, Yusuf, Cevher, Volkan
Publié dans: Proceedings of the ACM International Conference on Computing Frontiers 2018, Numéro once a year, 2018
Éditeur: ACM

Stochastic Frank-Wolfe for Composite Convex Minimization

Auteurs: Locatello, Francesco; Yurtsever, Alp; Fercoq, Olivier; Cevher, Volkan
Publié dans: Proceedings of Conference on Neural Information Processing Systems (NeurIPS)’2019, Numéro once a year, 2019
Éditeur: MIT Press et Morgan Kaufmann Publishers

Scalable Learning-Based Sampling Optimization For Compressive Dynamic MRI

Auteurs: T. Sanchez, B. Gözcü, R. van Heeswijk, A Eftekhari, E. Ilıcak, T. Cukur, V. Cevher
Publié dans: Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)’2020, Numéro once a year, 2020
Éditeur: IEEE ICASSP

Lipschitz constant estimation for Neural Networks via sparse polynomial optimization

Auteurs: F. Latorre, P. Rolland, V. Cevher
Publié dans: Proceedings of International Conference on Learning Representations (ICLR)’2020, Numéro once a year, 2020
Éditeur: ICLR

Fast and Provable ADMM for Learning with Generative Priors

Auteurs: F. Latorre, A. Eftekhari, V. Cevher
Publié dans: Proceedings of Conference on NeuralInformation Processing Systems (NeurIPS)’2019, Numéro once a year, 2019
Éditeur: MIT Press and Morgan Kaufmann Publishers

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

Auteurs: A. Kavis, K.Y. Levy, F. Bach, V. Cevher
Publié dans: Proceeding of Conference on Neural Information Processing Systems (NeurIPS)’2019, Numéro once a year, 2019
Éditeur: MIT Press and Morgan Kaufmann Publishers

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints

Auteurs: M.F. Sahin, A. Eftekhari, A. Alacaoglu, F. Latorre, V. Cevher
Publié dans: Proceedings of Conference on Neural Information Processing Systems (NeurIPS)’2019, Numéro once a yeaer, 2019
Éditeur: MIT Press et Morgan Kaufmann Publishers

A Conditional Gradient-Based Augmented Lagrangian Framework

Auteurs: A. Yurtsever, O. Fercoq, V. Cevher
Publié dans: Proceedings of International Conference on Machine Learning (ICML)’2019, Numéro Once a year in PMLR 97, 2019, Page(s) 7272-7281
Éditeur: Proceedings of Machine Learning Research

Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator

Auteurs: A. Yurtsever, S. Sra, V. Cevher
Publié dans: Proceedings of International Conference on Machine Learning (ICML)’2019, Numéro Once a year in PMLR 97, 2019, Page(s) 7282-7291
Éditeur: Proceedings of Machine Learning Research

Finding Mixed Nash Equilibria of Generative Adversarial Networks

Auteurs: Y-P. Hsieh, C. Liu, V. Cevher,
Publié dans: Proceedings of International Conference on Machine Learning (ICML)’2019, Numéro Once a year in PMLR 97, 2019, Page(s) 2810-2819
Éditeur: PMLR ICML

Almost surely constrained convex optimization

Auteurs: O. Fercoq, A. Alacaoglu, I. Necoara, V. Cevher
Publié dans: Proceedings of International Conference on Machine Learning (ICML)’2019, Numéro Once a year in PMLR 97, 2019, Page(s) 1910-1919
Éditeur: PMLR ICML

Overlapping Multi-Bandit Best Arm Identification

Auteurs: Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
Publié dans: 2019 IEEE International Symposium on Information Theory (ISIT), 2019, Page(s) 2544-2548, ISBN 978-1-5386-9291-2
Éditeur: IEEE
DOI: 10.1109/isit.2019.8849327

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Auteurs: Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28 - December 9, 2022, 2022
Éditeur: NeurIPS

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization

Auteurs: Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher
Publié dans: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Numéro November 28-December 9, 2022, 2022
Éditeur: NeurIPS

Robust inverse Reinforcement Learning under Transition Dynamics Mismatch,

Auteurs: L. Viano, Y-T. Huang, K. Parameswaran, A. Weller, and V. Cevher
Publié dans: Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Numéro 6-14 December, 2021, 2021, ISBN 9781713845393
Éditeur: NeurIPS

A Natural Actor-Critic Framework for Zero-Sum Markov Games

Auteurs: Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher
Publié dans: Proceedings of the 39th International Conference on Machine Learning, PMLR, Numéro Volume 162, 2022, Page(s) 307-366
Éditeur: ML Research Press

Sifting through the noise: Universal first-order methods for stochastic variational inequalities

Auteurs: K. Antonakopoulos, T. Pethick, A. Kavis, P. Mertikopoulos, and V. Cevher
Publié dans: Conference on Neural Information Processing Systems (NeurIPS), Numéro 6-14 December, 2021, 2021
Éditeur: NeurIPS

A new regret analysis for Adamtype algorithms,”

Auteurs: A. Alacaoglu, Y. Malitsky, P. Mertikopoulos and V. Cevher
Publié dans: Proceeding of International Conference on Machine Learning (ICML 2020), Numéro Volume 119, 13-18 July, 2020, 2020
Éditeur: MLR press

Double-Loop Unadjusted Langevin Algorithm

Auteurs: P. Rolland, A. Eftekhari, A. Kavis, and V. Cevher
Publié dans: International Conference on Machine Learning (ICML), Numéro 13-18 July, 2020, 2020
Éditeur: PMLR

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

Auteurs: F. Latorre, P. Rolland, N. Hallak and V. Cevher
Publié dans: Proceeding of International Conference on Machine Learning (ICML 2020), Numéro Volume 119, 13-18 July, 2020, 2020
Éditeur: MLR press

UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees

Auteurs: Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Levy, Panayotis Mertikopoulos
Publié dans: Proceedings of the 39th International Conference on Machine Learning, PMLR, Numéro Volume 162, 2022, Page(s) 772-795
Éditeur: ML Research Press

Scalable Semidefinite Programming

Auteurs: Alp Yurtsever; Joel A. Tropp; Olivier Fercoq; Madeleine Udell; Volkan Cevher
Publié dans: SIAM Journal on Mathematics of Data Science, Numéro 39, 2021, ISSN 2577-0187
Éditeur: SIAM
DOI: 10.1137/19m1305045

Forward reflected backward method with variancereduction

Auteurs: A. Alacaoglu, Y. Malitsky, and V. Cevher,
Publié dans: Computational Optimization and Applications, 2021, ISSN 0926-6003
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10589-021-00305-3

An AC-Coupled Wideband Neural Recording Front-End With Sub-1 mm 2 ×fJ/conv-step Efficiency and 0.97 NEF

Auteurs: Arda Uran; Yusuf Leblebici; Azita Emami; Volkan Cevher
Publié dans: IEEE Solid-State Circuits Letters, Numéro 6, 2020, ISSN 2573-9603
Éditeur: IEEE
DOI: 10.1109/lssc.2020.3013993

Revisiting adversarial training for the worst-performing class

Auteurs: Thomas Pethick, Grigorios Chrysos, Volkan Cevher
Publié dans: Transactions on Machine Learning Research, Numéro 1/2023, 2023, ISSN 2835-8856
Éditeur: TMLR

Kernel Conjugate Gradient Methods with Random Projections

Auteurs: Junhong Lin; Volkan Cevher
Publié dans: Applied and Computational Harmonic Analysis (ACHA), Numéro 2, 2021, ISSN 1063-5203
Éditeur: Academic Press
DOI: 10.1016/j.acha.2021.05.004

An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity

Auteurs: Lijun Ding; Alp Yurtsever; Volkan Cevher; Joel A. Tropp; Madeleine Udell
Publié dans: SIAM Journal on Optimization, Numéro 36, 2021, ISSN 1052-6234
Éditeur: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1244603

Convergence of the Exponentiated Gradient Method with Armijo Line Search

Auteurs: Yen-Huan Li, Volkan Cevher
Publié dans: Journal of Optimization Theory and Applications, Numéro 181/2, 2019, Page(s) 588-607, ISSN 0022-3239
Éditeur: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10957-018-1428-9

Near-Optimal Noisy Group Testing via Separate Decoding of Items

Auteurs: Jonathan Scarlett, Volkan Cevher
Publié dans: IEEE Journal of Selected Topics in Signal Processing, Numéro 12/5, 2018, Page(s) 902-915, ISSN 1932-4553
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstsp.2018.2844818

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

Auteurs: Cosimo Aprile, Kerim Ture, Luca Baldassarre, Mahsa Shoaran, Gurkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher
Publié dans: IEEE Transactions on Circuits and Systems I: Regular Papers, Numéro 65/11, 2018, Page(s) 3929-3941, ISSN 1549-8328
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcsi.2018.2853983

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

Auteurs: Volkan Cevher, Bằng Công Vũ
Publié dans: Optimization Letters, 2018, ISSN 1862-4472
Éditeur: Springer Verlag
DOI: 10.1007/s11590-018-1331-1

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

Auteurs: Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher
Publié dans: IEEE Transactions on Signal Processing, Numéro 66/22, 2018, Page(s) 5917-5926, ISSN 1053-587X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2018.2870353

Learning-Based Compressive MRI

Auteurs: Baran Gozcu, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Cukur, Jonathan Scarlett, Volkan Cevher
Publié dans: IEEE Transactions on Medical Imaging, Numéro 37/6, 2018, Page(s) 1394-1406, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2018.2832540

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

Auteurs: Cosimo Aprile, Alessandro Cevrero, Pier Andrea Francese, Christian Menolfi, Matthias Braendli, Marcel Kossel, Thomas Morf, Lukas Kull, Ilter Oezkaya, Yusuf Leblebici, Volkan Cevher, Thomas Toifl
Publié dans: IEEE Journal of Solid-State Circuits, Numéro 53/3, 2018, Page(s) 861-872, ISSN 0018-9200
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jssc.2017.2783679

Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces

Auteurs: Junhong Lin, Alessandro Rudi, Lorenzo Rosasco, Volkan Cevher
Publié dans: Applied and Computational Harmonic Analysis, 2018, ISSN 1063-5203
Éditeur: Academic Press
DOI: 10.1016/j.acha.2018.09.009

Chemical machine learning with kernels: The impact of loss functions

Auteurs: Quang Van Nguyen, Sandip De, Junhong Lin, Volkan Cevher
Publié dans: International Journal of Quantum Chemistry, Numéro 119/9, 2019, Page(s) e25872, ISSN 0020-7608
Éditeur: John Wiley & Sons Inc.
DOI: 10.1002/qua.25872

Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections

Auteurs: J. Lin, V. Cevher
Publié dans: The Journal of Machine Learning Research (JMLR), Numéro Volume 21, 2020, Page(s) 1−44, ISSN 1533-7928
Éditeur: Microtome Publishing

An adaptive primal-dual framework for nonsmooth convex minimization

Auteurs: Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
Publié dans: Mathematical Programming Computation, 2019, ISSN 1867-2949
Éditeur: Springer Verlag
DOI: 10.1007/s12532-019-00173-3

Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation

Auteurs: Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
Publié dans: SIAM Journal on Scientific Computing, Numéro 41/4, 2019, Page(s) A2430-A2463, ISSN 1064-8275
Éditeur: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1201068

A 16-Channel Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS

Auteurs: Arda Uran, Kerim Ture, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Emilie C. M. Revol, Azita Emami, Stephanie P. Lacour, Catherine Dehollain, Yusuf Leblebici,Volkan Cevher
Publié dans: IEEE Journal of Solid-State Circuits, 2022, ISSN 0018-9200
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jssc.2022.3161296

Droits de propriété intellectuelle

SIGNAL SAMPLING WITH JOINT TRAINING OF LEARNABLE PRIORS FOR SAMPLING OPERATOR AND DECODER

Numéro de demande/publication: 18 191494
Date: 2018-08-29

SIGNAL SAMPLING WITH JOINT TRAINING OF LEARNABLE PRIORS FOR SAMPLING OPERATOR AND DECODER

Numéro de demande/publication: 18 191494
Date: 2018-08-29

SIGNAL SAMPLING WITH JOINT TRAINING OF LEARNABLE PRIORS FOR SAMPLING OPERATOR AND DECODER

Numéro de demande/publication: 18 191494
Date: 2018-08-29

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