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Output Perturbation for Differentially Private Convex Optimization with Improved Population Loss Bounds, Runtimes and Applications to Private Adversarial Training

Feb 09, 2021
Andrew Lowy, Meisam Razaviyayn


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Near-Optimal Model Discrimination with Non-Disclosure

Dec 13, 2020
Dmitrii M. Ostrovskii, Mohamed Ndaoud, Adel Javanmard, Meisam Razaviyayn

* 49 pages, 2 figures; a few minor typos fixed 

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Alternating Direction Method of Multipliers for Quantization

Sep 08, 2020
Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn


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Solving Non-Convex Non-Differentiable Min-Max Games using Proximal Gradient Method

Mar 18, 2020
Babak Barazandeh, Meisam Razaviyayn


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Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities

Jan 22, 2020
Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn


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When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima?

Nov 22, 2019
Maziar Sanjabi, Sina Baharlouei, Meisam Razaviyayn, Jason D. Lee


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SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems

Jul 09, 2019
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong


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Rényi Fair Inference

Jun 28, 2019
Sina Baharlouei, Maher Nouiehed, Meisam Razaviyayn

* 11 pages, 1 figure 

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Robustness of accelerated first-order algorithms for strongly convex optimization problems

May 27, 2019
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanović

* 40 pages, 6 figures 

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Training generative networks using random discriminators

Apr 22, 2019
Babak Barazandeh, Meisam Razaviyayn, Maziar Sanjabi


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Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Łojasiewicz Condition

Dec 07, 2018
Maziar Sanjabi, Meisam Razaviyayn, Jason D. Lee


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On the Behavior of the Expectation-Maximization Algorithm for Mixture Models

Sep 24, 2018
Babak Barazandeh, Meisam Razaviyayn


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On the Convergence and Robustness of Training GANs with Regularized Optimal Transport

May 22, 2018
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee


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On Optimal Generalizability in Parametric Learning

Nov 14, 2017
Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh

* Proc. of 2017 Advances in Neural Information Processing Systems (NIPS 2017) 

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Computational Intractability of Dictionary Learning for Sparse Representation

Nov 05, 2015
Meisam Razaviyayn, Hung-Wei Tseng, Zhi-Quan Luo


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Discrete Rényi Classifiers

Nov 05, 2015
Meisam Razaviyayn, Farzan Farnia, David Tse


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