Bandits

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Period ending 2026-09-21

4 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

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192 papers

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  1. Online Adaptive Kernel Mixing for Gaussian Process Decision Making

    Sep 17, 2026Kavin Aravindan, Mani Tej Sriram, Gautam Dasarathy +1Gaussian ProcessKernel Method

  2. Odds-Ratio Thompson Sampling: A Specification and Design Guide for Contrast-Based Multi-Armed Bandits

    Sep 17, 2026Sulgi KimThompson SamplingMulti-Armed Bandits

  3. Bandits with Probing: Optimal Regret and the Limits of Winner Feedback

    Sep 14, 2026Yongjie GuanMinimaxBandits

  4. Nearly Minimax-Optimal Regret for Linear Contextual Bandits with Arbitrary Adaptive Action Sets

    Sep 14, 2026Tianyuan JinLinear Contextual BanditsBandits

  5. ALIGN-HOLD: Experience Alignment for Real-Time Hold Control in Large-Scale Ride-Hailing Matching at DiDi

    Sep 9, 2026Zuhao Zhang, Xu Liu, Kai Wan +3Training-Free Reward AlignmentHandoff

  6. Bandits in Prod: Hyperparameter Optimization at Inference Time

    Sep 1, 2026Louis Abraham, Tuan-Anh Nguyen, Nicolas DevatineHyperparameter OptimizationAgentic Optimization

  7. Designing for the Next Click: Bandits for Real-Time Page Layout

    Aug 30, 2026Bhavtosh Rath, Harshith Narasimhamurthy, Bob Eisinger +3Linear Contextual BanditsLayouts

  8. From Relaxed Indexability to Exact Indexability: A t-Step Approach for Partially Observable Restless Bandits

    Aug 25, 2026Qizhen Jia, Keqin LiuLinear BanditsOptimal Policies

  9. Improved Regret Analysis for Parallel Gaussian Process Bandit Optimization

    Aug 17, 2026Shion Takeno, Shogo IwazakiGeneralized Linear BanditLinear Regret

  10. An Efficient Near-Optimal Algorithm for Adversarial mm-Set Bandits

    Aug 12, 2026Francesco Bacchiocchi, Tommaso Cesari, Roberto ColomboniMulti-Armed BanditsLinear Regret

  11. Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids: From Robust Offline Optimization to Full-Bandit Learning

    Aug 12, 2026Vaneet AggarwalSubmodular MaximizationMulti-Armed Bandits

  12. DCM Bandits: Multiplayer Information Asymmetric Cascading Bandits for Multiple Clicks

    Aug 12, 2026Andy Wang, Charlton Shih, William ChangBanditsAsymmetric

  13. Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry

    Aug 11, 2026Daphne Feng, Ricardo Parada, Lily Jiang +2Multi-Agent Reinforcement LearningBandits

  14. PEEL: Parallel Extraction for Long-Horizon Disassembly Planning via Scale-Invariant Sampling

    Aug 9, 2026Servet B. Bayraktar, Andreas Orthey, Zachary Kingston +1Long-Horizon PlanningCollision-Free Trajectories

  15. BAP-MOS: Bandit-Based Adaptive Prompting for Boundary-Sensitive Multi-Organ Segmentation

    Aug 8, 2026Satvik Praveen, Shengji Jin, Ahmed Lamidi +2Medical Image SegmentationUltrasound

  16. Information Routing across Batch Boundaries: Memory--Batch Tradeoffs in Lipschitz Bandits

    Aug 8, 2026Zicheng Lyu, Zengfeng HuangLinear BanditsLipschitz Constant

  17. Cost-Aware Multi-Objective Bandits: Theory and Application to Budgeted LLM Configuration Evaluation

    Aug 5, 2026Bo Xue, Zhi Hong, Jiayi Li +3Cost-AwareLarge Language Model Evaluation

  18. Efficient Online Lexicographic Generalized Low-Rank Matrix Bandits

    Aug 5, 2026Bo Xue, Ji Cheng, Haodong Jing +2Optimal Bandit AlgorithmsMulti-Armed Bandits

  19. LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation

    Aug 4, 2026Eugene Lee, Oseong Choi, Byungsoo Kang +1Thompson SamplingPrior Knowledge

  20. Dominant Arm Identification with Mixing and Recycling Observed Samples

    Aug 2, 2026Jonghyun Sim, Wonyoung KimMulti-Armed BanditsDominant Paradigm

  21. Personalizing Large Language Model Agents with Small Policy Models

    Jul 31, 2026Dian Jin, Zhi Zhang, Huichao Li +3Large Language Model AgentsAgentic Reinforcement-Learning Framework

  22. Convergence and Regret of the Policy Gradient for Multi-Armed Bandits in Diffusion Environment

    Jul 31, 2026Yanwei Jia, Du OuyangPolicy GradientMulti-Armed Bandits

  23. Parameter-Free Heavy-Tailed Bandits

    Jul 31, 2026Gianmarco Genalti, Alberto Maria MetelliLong-Tailed DistributionBandits

  24. The Greedy Advantage in Finite-Horizon Bandits

    Jul 31, 2026Kai Zhou, Michael Lingzhi Li, Kai WangOptimal Bandit AlgorithmsLinear Regret

  25. RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems

    Jul 31, 2026Haoran Ling, Yuecheng Li, Zeyu Song +5Large-Scale Recommendation SystemsReranking

  26. SciToolAgent-Evo: An Ontology-Aware Self-Evolving Agent for Open-World Scientific Tool Acquisition

    Jul 30, 2026Yuqi Tang, Chenyi Zhou, Libin Wang +3Self-Evolving AgentsAutoresearch

  27. Top-k Pareto Bandits: Hypervolume Regret for Multi-Objective Slate Selection

    Jul 28, 2026Nicolas Gutowski, Fabien Chhel, Alexandre Letard +1Multi-Armed BanditsPareto Frontier

  28. Efficiency Matters in Autonomous Research

    Jul 27, 2026Haiqian Yang, Yuan CaoAutoresearchSearch Algorithms

  29. Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling

    Jul 26, 2026Shakti Sharma, Rahul MeshramOptimal SchedulingLinear Bandits

  30. Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set

    Jul 26, 2026Heyang Zhao, Tianyuan Jin, Weixin Wang +3Linear BanditsVariance Reduction

  31. Discrepancy-Rounded Fair Bandits with Static and Time-Varying Exposure Floors

    Jul 24, 2026Ibne Farabi Shihab, Joyanta Jyoti Mondal, Anuj SharmaBanditsFairness Constraints

  32. Periodic Bootstrap Thompson Sampling For Periodically Non-Stationary Bandit Problems

    Jul 18, 2026Boning ShaoThompson SamplingBandits

  33. MESHA: Mechanism-Enforced Sequential Halving for Strategic Linear Bandits

    Jul 16, 2026Xin Li, Zixin ZhongOptimal Bandit AlgorithmsOptimal Design

  34. Optimal and Efficient Contextual Combinatorial Semi-bandits with General Function Approximation

    Jul 15, 2026Hao Qin, Chicheng ZhangGeneralized Linear BanditCombinations

  35. Price of Fairness in Bandits: A Tight Minimax Characterization

    Jul 15, 2026Dhruv Sarkar, Soumyadeep Dutta, Sayak Ray ChowdhuryLinear RegretBandits

  36. Thompson Sampling Is 2-Competitive for Mistakes

    Jul 14, 2026Mark Sellke, Gregory ValiantThompson SamplingOptimal Bandit Algorithms

  37. Diversified Multinomial Logit Contextual Bandits

    Jul 13, 2026Heesang Ann, Taehyun Hwang, Min-hwan OhGeneralized Linear BanditBandits

  38. Link Adaptation Using Joint-Thompson Sampling

    Jul 13, 2026Vignatha Vinjam, Manjunath Kolavennu, Myna Vajha +1Thompson SamplingChannel Modeling

  39. Learning from Local Walks on Dynamic Graphs with Bandit Feedback

    Jul 12, 2026Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni +1BanditsEfficient Exploration

  40. Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing

    Jul 10, 2026Ajay Narayanan Sridhar, Ronak Singh, Mehrdad Mahdavi +1Large Language Model RoutingMulti-Armed Bandits

  41. Optimal Top-k Identification from Pairwise Comparisons

    Jul 9, 2026Motti Goldberger, Nils RudiOptimal Sample ComplexityTop-K

  42. Nonlinear Bandit

    Jul 8, 2026Tianshuo Zheng, Ting Wu, Zhi-Hua Zhou +1Generalized Linear BanditLong-Tailed Distribution

  43. Contextual Procurement Auctions with Bandit Learning

    Jul 7, 2026Yiling Chen, Shi Feng, Sadie ZhaoFirst-Price AuctionsBandits

  44. Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions

    Jul 3, 2026Zihao Hu, Yuan Yao, Jiheng Zhang +1Near-Optimal Regret GuaranteesLinear Bandits

  45. Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization

    Jul 1, 2026Yuqi Huang, Vincent Y. F. Tan, Sharu Theresa JoseQuantum KernelsQuantum Advantage

  46. Distributed Online Bandit Submodular Maximization with Bounded Sampling Violations

    Jul 1, 2026Bin Du, Chang Liu, Dingqi Zhu +2Submodular MaximizationBandits

  47. A Contextual-Bandit Oversight Game with Two-Sided Informational Asymmetry

    Jun 30, 2026Yunjin TongLinear Contextual BanditsBandits

  48. Contextual Slate GLM Bandits with Limited Adaptivity

    Jun 30, 2026Tanmay Goyal, Sukruta Prakash Midigeshi, Gaurav SinhaLinear Contextual BanditsMulti-Armed Bandits

  49. Learning to Bid in Discriminatory Auctions with Budget Constraints

    Jun 28, 2026Negin Golrezaei, Sourav SahooFirst-Price AuctionsBandits

  50. A Linear Matching Bandit Approach to Online Multi-Human Multi-Robot Teaming

    Jun 28, 2026Yaohui Guo, X. Jessie Yang, Cong ShiBipartite Perfect MatchingsMulti-Robot Systems

  51. Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution

    Jun 26, 2026Xin-She Yang, Mehmet KaramanogluEvolutionary SearchBandits

  52. Randomized Exploration for Linear Bandits via Absolute Perturbations

    Jun 26, 2026Toshinori Kitamura, Shuai Liu, Csaba SzepesváriThompson SamplingLinear Bandits

  53. Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces

    Jun 26, 2026Joyanta Jyoti Mondal, Ibne Farabi Shihab, Anuj SharmaLinear Contextual BanditsMulti-Armed Bandits

  54. Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries

    Jun 25, 2026Prarabdh Shukla, Ritik, Suhas Rao +2Novel Jailbreak MethodJailbreaks

  55. Target-Aware Bandit Allocation for Scalable Surrogate Optimization in Chemical Space

    Jun 25, 2026Mohammad Haddadnia, Yuvan Chali, Abhilash Jayaraj +4Bayesian OptimizationDrug Design

  56. Leveraging Similarities in Multi-Armed Bandits

    Jun 22, 2026Khaled Eldowa, Thibaud Rahier, Augustin Cablant +2Multi-Armed BanditsRegret

  57. Minimax Quantile Lower Bounds for Interactive Statistical Decision Making with Privacy

    Jun 22, 2026Raghav Bongole, Amirreza Zamani, Tobias J. Oechtering +1MinimaxGeneralized Linear Bandit

  58. Selective Ensemble Based on Preference-Directed Multi-Objective Bandits

    Jun 20, 2026Lanjihong Ma, Zhen-Yu Zhang, Masashi Sugiyama +1Multi-Armed BanditsPareto Frontier

  59. Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning

    Jun 18, 2026Asaf Cassel, Aviv RosenbergEfficient ExplorationMulti-Armed Bandits

  60. Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training

    Jun 17, 2026Ruiqi Lai, Dakai An, Wei Gao +6Reinforcement Learning Post-TrainingMultimodal Diffusion Transformers