conftrace_

mirror descent

148 papers

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Also known as

MD

Co-occurring keywords

regret bound (1926) convex optimization (1321) online learning (1777) stochastic optimization (1060) gradient descent (1144) reinforcement learning (4352) bregman divergence (81) policy gradient (520) policy optimization (657) online convex optimization (165)

Papers

Gradient-Variation Bound for Online Convex Optimization with Constraints AAAI 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023
Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems JMLR 2023
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NIPS 2023
A Unified Approach to Controlling Implicit Regularization via Mirror Descent JMLR 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation ICML 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice ICML 2023
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes ICML 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NIPS 2023
Generalized Implicit Follow-The-Regularized-Leader ICML 2023
Faster Margin Maximization Rates for Generic Optimization Methods NIPS 2023
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States ALT 2023
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent NIPS 2022
Uniform Stability for First-Order Empirical Risk Minimization COLT 2022
Parameter-free Mirror Descent COLT 2022
A Bregman Learning Framework for Sparse Neural Networks JMLR 2022
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently NIPS 2022
Stochastic linear optimization never overfits with quadratically-bounded losses on general data COLT 2022
Online Apprenticeship Learning AAAI 2022
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability AAAI 2022
Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022
Public Data-Assisted Mirror Descent for Private Model Training ICML 2022
Robust Imitation via Mirror Descent Inverse Reinforcement Learning NIPS 2022
Alternating Mirror Descent for Constrained Min-Max Games NIPS 2022