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Learning in Non-convex Games with an Optimization Oracle

17 October 2018

Papers citing "Learning in Non-convex Games with an Optimization Oracle"

38 / 38 papers shown

Title
Online Learning for Approximately-Convex Functions with Long-term Adversarial Constraints Dhruv Sarkar S. Mukhopadhyay Abhishek Sinha 16 0 0 23 Aug 2025
Event-Driven Online Vertical Federated Learning Ganyu Wang Boyu Wang Bin Gu Charles Ling 94 1 0 17 Jun 2025
Adversarial bandit optimization for approximately linear functions Zhuoyu Cheng Kohei Hatano Eiji Takimoto 101 0 0 27 May 2025
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates Shicheng Liu Minghui Zhu 165 5 0 21 Oct 2024
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints Spencer Hutchinson Tianyi Chen Mahnoosh Alizadeh 106 1 0 09 Mar 2024
Online Non-convex Optimization with Long-term Non-convex Constraints Shijie Pan Wenjie Huang 87 0 0 04 Nov 2023
DRL-ORA: Distributional Reinforcement Learning with Online Risk Adaption Yupeng Wu Wenyun Li Wenjie Huang Chin Pang Ho OffRL 111 0 0 08 Oct 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions Sen-Fon Lin Daouda Sow Kaiyi Ji Yitao Liang Ness B. Shroff 116 4 0 07 Aug 2023
Online Learning for Obstacle Avoidance David Snyder Meghan Booker Nathaniel Simon Wenhan Xia Daniel Suo Elad Hazan Anirudha Majumdar 103 2 0 14 Jun 2023
Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making Adam Block Alexander Rakhlin Max Simchowitz 125 5 0 10 Feb 2023
Smoothed Online Learning for Prediction in Piecewise Affine Systems Adam Block Max Simchowitz Russ Tedrake 122 12 0 26 Jan 2023
Distributed Online Non-convex Optimization with Composite Regret Zhanhong Jiang Aditya Balu Xian Yeow Lee Young M. Lee Chinmay Hegde Soumik Sarkar 122 5 0 21 Sep 2022
Online Low Rank Matrix Completion Prateek Jain S. Pal 142 10 0 08 Sep 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 252 12 0 06 Jul 2022
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning S. Shrestha Xiao Fu Mingyi Hong 54 15 0 11 Jun 2022
Smoothed Online Learning is as Easy as Statistical Learning Adam Block Y. Dagan Noah Golowich Alexander Rakhlin 97 50 0 09 Feb 2022
Zeroth-order non-convex learning via hierarchical dual averaging Amélie Héliou Matthieu Martin P. Mertikopoulos Thibaud Rahier 90 11 0 13 Sep 2021
Generating Adversarial Disturbances for Controller Verification Udaya Ghai David Snyder Anirudha Majumdar Elad Hazan 126 10 0 12 Dec 2020
Towards Understanding the Dynamics of the First-Order Adversaries Zhun Deng Hangfeng He Jiaoyang Huang Weijie J. Su AAML 69 11 0 20 Oct 2020
Online non-convex optimization with imperfect feedback Amélie Héliou Matthieu Martin P. Mertikopoulos Thibaud Rahier 69 17 0 16 Oct 2020
Regret minimization in stochastic non-convex learning via a proximal-gradient approach Nadav Hallak P. Mertikopoulos Volkan Cevher 94 22 0 13 Oct 2020
Interpreting Robust Optimization via Adversarial Influence Functions Zhun Deng Cynthia Dwork Jialiang Wang Linjun Zhang TDI 49 12 0 03 Oct 2020
Programming by Rewards Nagarajan Natarajan Ajaykrishna Karthikeyan Prateek Jain Ivan Radicek S. Rajamani Sumit Gulwani J. Gehrke 33 2 0 14 Jul 2020
New Oracle-Efficient Algorithms for Private Synthetic Data Release G. Vietri Grace Tian Mark Bun Thomas Steinke Zhiwei Steven Wu SyDa 201 81 0 10 Jul 2020
Online Learning of Facility Locations Stephen Pasteris T. He Fabio Vitale Maroun Touma Mark Herbster 25 3 0 06 Jul 2020
Greedy Adversarial Equilibrium: An Efficient Alternative to Nonconvex-Nonconcave Min-Max Optimization Oren Mangoubi Nisheeth K. Vishnoi 246 7 0 22 Jun 2020
Learning Minimax Estimators via Online Learning Kartik Gupta A. Suggala Adarsh Prasad Praneeth Netrapalli Pradeep Ravikumar 61 2 0 19 Jun 2020
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games A. Suggala Praneeth Netrapalli 63 17 0 13 Jun 2020
Online non-convex learning for river pollution source identification Wenjie Huang Jing Jiang Xiao Liu 211 3 0 22 May 2020
Follow the Neurally-Perturbed Leader for Adversarial Training Ari Azarafrooz 89 0 0 16 Feb 2020
Metric-Free Individual Fairness in Online Learning Yahav Bechavod Christopher Jung Zhiwei Steven Wu FaML 221 51 0 13 Feb 2020
Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi Kfir Y. Levy Stefanie Jegelka Andreas Krause 218 55 0 28 Oct 2019
Online learning for min-max discrete problems E. Bampis Dimitris Christou B. Escoffier K. Nguyen 50 3 0 12 Jul 2019
Convergence of Adversarial Training in Overparametrized Neural Networks Ruiqi Gao Tianle Cai Haochuan Li Liwei Wang Cho-Jui Hsieh Jason D. Lee AAML 180 111 0 19 Jun 2019
Private Learning Implies Online Learning: An Efficient Reduction Alon Gonen Elad Hazan Shay Moran 107 15 0 27 May 2019
Dual Averaging Method for Online Graph-structured Sparsity Baojian Zhou F. Chen Yiming Ying 67 8 0 26 May 2019
Online Non-Convex Learning: Following the Perturbed Leader is Optimal A. Suggala Praneeth Netrapalli 167 60 0 19 Mar 2019
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? Chi Jin Praneeth Netrapalli Michael I. Jordan 268 86 0 02 Feb 2019