{"total":47,"rows":[{"id":"2107.02371","title":"Weighted Gaussian Process Bandits for Non-stationary Environments","created":"2021-07-06","cited_by_count":30,"area":null},{"id":"2403.07213","title":"Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits","created":"2024-03-11","cited_by_count":27,"area":null},{"id":"2212.03798","title":"Stochastic Rising Bandits","created":"2022-12-07","cited_by_count":18,"area":null},{"id":"2409.05181","title":"Sliding-Window Thompson Sampling for Non-Stationary Settings","created":"2024-09-08","cited_by_count":17,"area":null},{"id":"2101.08699","title":"An empirical evaluation of active inference in multi-armed bandits","created":"2021-01-21","cited_by_count":12,"area":null},{"id":"2210.16386","title":"Non-Stationary Bandits with Auto-Regressive Temporal Dependency","created":"2022-10-28","cited_by_count":10,"area":null},{"id":"2307.05341","title":"Tracking Most Significant Shifts in Nonparametric Contextual Bandits","created":"2023-07-11","cited_by_count":10,"area":null},{"id":"2302.12202","title":"A Definition of Non-Stationary Bandits","created":"2023-02-23","cited_by_count":9,"area":null},{"id":"2102.00725","title":"Generalized non-stationary bandits","created":"2021-02-01","cited_by_count":8,"area":null},{"id":"2106.10935","title":"On Limited-Memory Subsampling Strategies for Bandits","created":"2021-06-21","cited_by_count":8,"area":null},{"id":"2107.10492","title":"Bandit Quickest Changepoint Detection","created":"2021-07-22","cited_by_count":7,"area":null},{"id":"2107.11419","title":"Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits","created":"2021-07-23","cited_by_count":7,"area":null},{"id":"2202.00935","title":"Non-Stationary Dueling Bandits","created":"2022-02-02","cited_by_count":7,"area":null},{"id":"2101.08980","title":"Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret","created":"2021-01-22","cited_by_count":6,"area":null},{"id":"2601.22538","title":"Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models","created":"2026-01-30","cited_by_count":6,"area":null},{"id":"2206.00120","title":"Decentralized Competing Bandits in Non-Stationary Matching Markets","created":"2022-05-31","cited_by_count":5,"area":null},{"id":"2305.10718","title":"Discounted Thompson Sampling for Non-Stationary Bandit Problems","created":"2023-05-18","cited_by_count":4,"area":null},{"id":"2407.08654","title":"Adaptive Smooth Non-Stationary Bandits","created":"2024-07-11","cited_by_count":4,"area":null},{"id":"2204.05782","title":"Stochastic Multi-armed Bandits with Non-stationary Rewards Generated by a Linear Dynamical System","created":"2022-04-06","cited_by_count":3,"area":null},{"id":"2302.05257","title":"Piecewise-Stationary Multi-Objective Multi-Armed Bandit with Application to Joint Communications and Sensing","created":"2023-02-10","cited_by_count":3,"area":null},{"id":"2201.00486","title":"Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand","created":"2022-01-03","cited_by_count":2,"area":null},{"id":"2205.13689","title":"Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits","created":"2022-05-27","cited_by_count":2,"area":null},{"id":"2306.05998","title":"Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit","created":"2023-06-09","cited_by_count":2,"area":null},{"id":"2604.21432","title":"A single algorithm for both restless and rested rotting bandits","created":"2026-04-23","cited_by_count":2,"area":null},{"id":"2303.02504","title":"MNL-Bandit in non-stationary environments","created":"2023-03-04","cited_by_count":1,"area":null},{"id":"2307.14138","title":"Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards","created":"2023-07-26","cited_by_count":1,"area":null},{"id":"2310.07786","title":"Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2312.07285","title":"Forced Exploration in Bandit Problems","created":"2023-12-12","cited_by_count":1,"area":null},{"id":"2409.19975","title":"Exploiting Adjacent Similarity in Multi-Armed Bandit Tasks via Transfer of Reward Samples","created":"2024-09-30","cited_by_count":1,"area":null},{"id":"2411.11794","title":"Competing Bandits in Decentralized Contextual Matching Markets","created":"2024-11-18","cited_by_count":1,"area":null},{"id":"2501.01291","title":"Detection Augmented Bandit Procedures for Piecewise Stationary MABs: A Modular Approach","created":"2025-01-02","cited_by_count":1,"area":null},{"id":"2502.00108","title":"Tracking Most Significant Shifts in Infinite-Armed Bandits","created":"2025-01-31","cited_by_count":1,"area":null},{"id":"2506.02980","title":"Non-stationary Bandit Convex Optimization: A Comprehensive Study","created":"2025-06-03","cited_by_count":1,"area":null},{"id":"2509.15073","title":"Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2109.15228","title":"Adapting Bandit Algorithms for Settings with Sequentially Available Arms","created":"2021-09-30","cited_by_count":0,"area":null},{"id":"2403.11520","title":"State-Separated SARSA: A Practical Sequential Decision-Making Algorithm with Recovering Rewards","created":"2024-03-18","cited_by_count":0,"area":null},{"id":"2404.00220","title":"Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region","created":"2024-03-30","cited_by_count":0,"area":null},{"id":"2410.04217","title":"Improving Portfolio Optimization Results with Bandit Networks","created":"2024-10-05","cited_by_count":0,"area":null},{"id":"2410.05734","title":"Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits","created":"2024-10-08","cited_by_count":0,"area":null},{"id":"2501.19401","title":"DAL: A Practical Prior-Free Black-Box Framework for Piecewise Stationary Bandits","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2505.20051","title":"Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2510.18299","title":"Physics-Informed Parametric Bandits for Beam Alignment in mmWave Communications","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2512.21165","title":"BALLAST: Bandit-Assisted Learning for Latency-Aware Stable Timeouts in Raft","created":"2025-12-24","cited_by_count":0,"area":null},{"id":"2602.11406","title":"The Cost of Learning Under Multiple Change Points","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2607.24115","title":"On Non-Stationary Dynamic Pricing: Adaptivity and Optimality","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2609.37902","title":"You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.03646","title":"When May a Bandit Leave Its Anchor? E-Process-Authorized Thompson Sampling under Non-stationarity","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}