Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions.
CoRR, 2024
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
Finite- Time Analysis of Asynchronous Multi-Agent TD Learning.
Proceedings of the American Control Conference, 2024
Min-Max Optimization Under Delays.
Proceedings of the American Control Conference, 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Score-Based Methods for Discrete Optimization in Deep Learning.
CoRR, 2023
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Minimax Optimization: The Case of Convex-Submodular.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Optimal Algorithms for Submodular Maximization with Distributed Constraints.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Submodular Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Max-Min Fairness Design for MIMO Interference Channels: A Minorization-Maximization Approach.
IEEE Trans. Signal Process., 2019