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Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
We propose smoothed primal-dual algorithms for solving stochastic and smooth nonconvex optimization problems with linear inequality …
Ruichuan Huang, Jiawei Zhang, Ahmet Alacaoglu
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Addressing misspecification in contextual optimization
We study a linear contextual optimization problem where a decision maker has access to historical data and contextual features to learn …
Omar Bennouna, Jiawei Zhang, Saurabh Amin, Asuman Ozdaglar
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Uniformly Stable Algorithms for Adversarial Training and Beyond
In adversarial machine learning, neural networks suffer from a significant issue known as robust overfitting, where the robust test …
Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman Ozdaglar (Jiancong Xiao and Jiawei Zhang are the first authors)
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A Unified Linear Programming Framework for Reward Learning with Offline Human Behavior and Feedback Data
Inverse Reinforcement Learning (IRL) and Reinforcement Learning from Human Feedback (RLHF) are pivotal methodologies in reward …
Kihyun Kim, Jiawei Zhang, Pablo Parrilo, Asuman E. Ozdaglar (Kihyun Kim and Jiawei Zhang are the first authors)
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Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
In recent years, federated minimax optimization has attracted growing interest due to its extensive applications in various machine …
Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen
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The Power of Duality Principle in Offline Average-Reward Reinforcement Learning
Offline reinforcement learning (RL) is widely used to find an optimal policy using a precollected dataset, without further interaction …
Asuman Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang (Authors are listed in alphabetical order and contribute equally)
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Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
This work develops analysis and algorithms for solving a class of bilevel optimization problems where the lower-level (LL) problems …
Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong
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Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
Offline reinforcement learning (RL) aims to find an optimal policy for sequential decision-making using a pre-collected dataset, …
Asuman Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang (Authors are listed in alphabetical order and Jiawei Zhang is the corresponding author)
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What is a Good Metric to Study Generalization of Minimax Learners?
Minimax optimization has served as the backbone of many machine learning problems. Although the convergence behavior of optimization …
Asuman Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang (Authors are listed in alphabetical order and Jiawei Zhang is the corresponding author)
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Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization
Decentralized optimization problems frequently appear in the large scale machine learning problems. However, few works work on the …
Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhiquan Luo
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