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conftrace_

non-stationary learning

22 papers

Papers

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps NeurIPS 2024 Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024 Instance-Conditional Timescales of Decay for Non-Stationary Learning AAAI 2024 Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset NeurIPS 2024 ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits AISTATS 2023 An Information-Theoretic Analysis of Nonstationary Bandit Learning ICML 2023 Fast Rates in Time-Varying Strongly Monotone Games ICML 2023 Nonparametric Density Estimation under Distribution Drift ICML 2023 Online robust non-stationary estimation NeurIPS 2023 Piecewise Stationary Bandits under Risk Criteria AISTATS 2023 Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023 Second Order Path Variationals in Non-Stationary Online Learning AISTATS 2023 Smooth Non-stationary Bandits ICML 2023 A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits AISTATS 2022 Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits JMLR 2022 Inverse Contextual Bandits: Learning How Behavior Evolves over Time ICML 2022 Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits ICML 2022 Self-Concordant Analysis of Generalized Linear Bandits with Forgetting AISTATS 2021 Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting AAAI 2020 A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free COLT 2019 Second-Order Non-Stationary Online Learning for Regression JMLR 2015 A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013