stochastic optimization

Adaptation to the Range in K-Armed Bandits JMLR 2023 Adaptive Data Depth via Multi-Armed Bandits JMLR 2023 Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NeurIPS 2023 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023 A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023 Allocating Divisible Resources on Arms with Unknown and Random Rewards COLT 2023 ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks AISTATS 2023 A Unified Approach for Maximizing Continuous DR-submodular Functions NeurIPS 2023 Bandit problems with fidelity rewards JMLR 2023 Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds COLT 2023 BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization NeurIPS 2023 Blackbox optimization of unimodal functions UAI 2023 Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization NeurIPS 2023 Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise COLT 2023 Buying Information for Stochastic Optimization ICML 2023 Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023 Complexity Analysis of a Countable-armed Bandit Problem ALT 2023 Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking CVPR 2023 Contextual Stochastic Bilevel Optimization NeurIPS 2023 Convergence of Adam Under Relaxed Assumptions NeurIPS 2023 Convex and Non-convex Optimization Under Generalized Smoothness NeurIPS 2023 Debiasing Conditional Stochastic Optimization NeurIPS 2023 Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023 Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity ICML 2023 Deep Value Function Networks for Large-Scale Multistage Stochastic Programs AISTATS 2023