Publications

My most recent publications list can be seen on my Google Scholar page.

2024

-“Asymptotically Optimal Change Detection for Unnormalized Pre-and Post-Change Distributions” arxiv, 2024. link

-“Min-Max Optimization under Delay “ American Control Conference (ACC), 2024. link

-“Finite-Time Analysis of Asynchronous Multi-Agent TD Learning” American Control Conference (ACC), 2024. link

-“DASA: Delay-Adaptive Multi-Agent Stochastic Approximation” IEEE Conference on Decision and Control (CDC), 2024. link

-“Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling” International Conference on Artificial Intelligence and Statistics (AISTATS), 2024. link

2023

-“Discrete and Continuous Optimization for Collaborative and Multi-Task Learning” Ph.D. Thesis, University of Pennsylvania, 2023. link

-“Score-Based Methods for Discrete Optimization in Deep Learning”, 2023. link

2022

-“Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds “ Advances in Neural Information Processing Systems(NeurIPS), 2022. link

-“Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents “ IEEE Conference on Decision and Control (CDC), 2022. link

-“Minimax Optimization: The Case of Convex-Submodular” International Conference on Artificial Intelligence and Statistics (oral at AISTATS), 2022. link

2021

-“Optimal Algorithms for Submodular Maximization with Distributed Constraints” Learning for Dynamics and Control (L4DC),2021. link

2020

-“Submodular Meta-Learning “ Advances in Neural Information Processing Systems(NeurIPS), 2020. link

2019

-“Max-Min Fairness Design in MIMO Interference Channels: A MinorizationMaximization Approach” IEEE Transactions on Signal Processing (TSP), 2019. link