conftrace_

mirror descent

174 papers

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MD

Co-occurring keywords · papers mentioning both

regret bound (31) online learning (26) convex optimization (25) stochastic optimization (16) gradient descent (14) bregman divergence (12) reinforcement learning (12) nash equilibrium (9) online convex optimization (8) policy gradient (8)

Papers

Accelerated Mirror Descent for Non-Euclidean Star-convex Functions ALT 2026 A Symplectic Analysis of Alternating Mirror Descent JMLR 2026 Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective ALT 2026 Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry AAAI 2026 Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection JMLR 2026 A Mirror Descent Perspective of Smoothed Sign Descent UAI 2025 A Stochastic Approach to the Subset Selection Problem via Mirror Descent ICLR 2025 Gradient Equilibrium in Online Learning: Theory and Applications JMLR 2025 Last-iterate Convergence in Regularized Graphon Mean Field Game AAAI 2025 Learning Mixtures of Experts with EM: A Mirror Descent Perspective ICML 2025 Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment ICLR 2025 Meta-Learning for Adaptive Control with Automated Mirror Descent L4DC 2025 Provable Maximum Entropy Manifold Exploration via Diffusion Models ICML 2025 Accelerating Convergence in Bayesian Few-Shot Classification ICML 2024 Adaptively Perturbed Mirror Descent for Learning in Games ICML 2024 Configurable Mirror Descent: Towards a Unification of Decision Making ICML 2024 Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent AISTATS 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm COLT 2024 Gradient-Variation Online Learning under Generalized Smoothness NeurIPS 2024 HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links NeurIPS 2024 Implicit Bias of Mirror Flow on Separable Data NeurIPS 2024 Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes ICML 2024 Learning Bregman Divergences with Application to Robustness NeurIPS 2024 Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024