stochastic mirror descent

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025 Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling ICLR 2025 MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment ICML 2025 General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024 Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024 Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023 On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis NeurIPS 2023 Stochastic Approximation Approaches to Group Distributionally Robust Optimization NeurIPS 2023 Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023 Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022 Policy Optimization with Stochastic Mirror Descent AAAI 2022 Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022 Stochastic linear optimization never overfits with quadratically-bounded losses on general data COLT 2022 Efficiently Solving MDPs with Stochastic Mirror Descent ICML 2020 First-Order Bayesian Regret Analysis of Thompson Sampling ALT 2020 Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization ICLR 2019 Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms AISTATS 2018 Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions ICML 2018 Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models AISTATS 2017 Regret Analysis for Continuous Dueling Bandit NeurIPS 2017 Stochastic Mirror Descent in Variationally Coherent Optimization Problems NeurIPS 2017 Aggregating Predictions via Sequential Mini-Trading ACML 2013 Interpreting prediction markets: a stochastic approach NeurIPS 2012