Showing 1–14 of 14 results
/ Date/ Name
Apr 1, 2026Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge DropoutFeb 4, 2026Cascading Robustness Verification: Toward Efficient Model-Agnostic CertificationOct 18, 2024Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change DistributionsJul 29, 2024Finite-Time Analysis of Asynchronous Multi-Agent TD LearningMar 25, 2024DASA: Delay-Adaptive Multi-Agent Stochastic ApproximationFeb 19, 2024Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian SamplingOct 15, 2023Score-Based Methods for Discrete Optimization in Deep LearningJul 13, 2023Min-Max Optimization under DelaysJun 6, 2022Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret BoundsApr 7, 2022Distributed Statistical Min-Max Learning in the Presence of Byzantine AgentsNov 1, 2021Minimax Optimization: The Case of Convex-SubmodularJul 11, 2020Submodular Meta-LearningSep 30, 2019Optimal Algorithms for Submodular Maximization with Distributed ConstraintsAug 1, 2019Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization Approach