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black-box reduction

9 papers

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Co-occurring keywords · papers mentioning both

multi-armed bandit (2) regret minimization (2) convex optimization (2) stochastic optimization (2) k-principal component analysis (1) deflation method (1) eigenspace estimation (1) algorithm reduction (1) adversarial transition (1) variance-aware regret (1)

Papers

Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift COLT 2026 Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization AISTATS 2025 QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits AISTATS 2025 Black-Box k-to-1-PCA Reductions: Theory and Applications COLT 2024 Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization COLT 2024 No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions NeurIPS 2023 Variance-Aware Sparse Linear Bandits ICLR 2023 Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach COLT 2021 Optimal Black-Box Reductions Between Optimization Objectives NeurIPS 2016