Showing 1–20 of 24 results
/ Date/ Name
Oct 21, 2021Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient DescentJun 8, 2019Reducing the variance in online optimization by transporting past gradientsNov 23, 2020Geometry-Aware Universal Mirror-ProxNov 18, 2024Fast Convergence of Softmax Policy Mirror AscentFeb 28, 2025Armijo Line-search Can Make (Stochastic) Gradient Descent Provably FasterFeb 18, 2021SVRG Meets AdaGrad: Painless Variance ReductionMar 1, 2018A Generic Top-N Recommendation Framework For Trading-off Accuracy, Novelty, and CoverageOct 31, 2015Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence FunctionsDec 25, 2024Torque-Aware MomentumMay 18, 2020An Analysis of the Adaptation Speed of Causal ModelsJul 6, 2018M-ADDA: Unsupervised Domain Adaptation with Deep Metric LearningMar 10, 2019Semantics Preserving Adversarial LearningMay 24, 2023Decision-Aware Actor-Critic with Function Approximation and Theoretical GuaranteesApr 11, 2022Towards Painless Policy Optimization for Constrained MDPsMay 25, 2023Fast Online Node Labeling for Very Large GraphsApr 16, 2015Non-Uniform Stochastic Average Gradient Method for Training Conditional Random FieldsMar 3, 2026Towards Parameter-Free Temporal Difference LearningJun 11, 2020To Each Optimizer a Norm, To Each Norm its GeneralizationSep 11, 2025Revisiting Actor-Critic Methods in Discrete Action Off-Policy Reinforcement LearningJan 12, 2024(Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum