理论 · online learning论文趋势 2023–2026

学习理论及相关：online_learning

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 763 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

理论 · online learning论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202310117397164
202416913348224
20258918744185
20266827869190

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部理论 · online learning论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 763 篇，第 10 / 16 页

  1. NeurIPS 2024Bandits with Ranking Feedback
  2. NeurIPS 2024Barely Random Algorithms and Collective Metrical Task Systems
  3. NeurIPS 2024Bayesian Online Natural Gradient (BONG)
  4. NeurIPS 2024Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints
  5. NeurIPS 2024Beyond task diversity: provable representation transfer for sequential multitask linear bandits
  6. NeurIPS 2024Can large language models explore in-context?
  7. NeurIPS 2024Communication Bounds for the Distributed Experts Problem
  8. NeurIPS 2024Contextual Active Model Selection
  9. NeurIPS 2024Contextual Decision-Making with Knapsacks Beyond the Worst Case
  10. NeurIPS 2024Contextual Multinomial Logit Bandits with General Value Functions
  11. NeurIPS 2024Continual Learning with Global Alignment
  12. NeurIPS 2024Continual learning with the neural tangent ensemble
  13. NeurIPS 2024CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
  14. NeurIPS 2024Convergence of No-Swap-Regret Dynamics in Self-Play
  15. NeurIPS 2024Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
  16. NeurIPS 2024Dealing with Synthetic Data Contamination in Online Continual Learning
  17. NeurIPS 2024Disentangling and mitigating the impact of task similarity for continual learning
  18. NeurIPS 2024Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
  19. NeurIPS 2024Dueling over Dessert, Mastering the Art of Repeated Cake Cutting
  20. NeurIPS 2024Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
  21. NeurIPS 2024Efficient Prompt Optimization Through the Lens of Best Arm Identification
  22. NeurIPS 2024Enhancing Preference-based Linear Bandits via Human Response Time
  23. NeurIPS 2024Ensemble sampling for linear bandits: small ensembles suffice
  24. NeurIPS 2024Extensive-Form Game Solving via Blackwell Approachability on Treeplexes
  25. NeurIPS 2024F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
  26. NeurIPS 2024Fair Online Bilateral Trade
  27. NeurIPS 2024Fairness and Efficiency in Online Class Matching
  28. NeurIPS 2024Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
  29. NeurIPS 2024Fast Rates for Bandit PAC Multiclass Classification
  30. NeurIPS 2024Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
  31. NeurIPS 2024Fixed Confidence Best Arm Identification in the Bayesian Setting
  32. NeurIPS 2024Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
  33. NeurIPS 2024Fully Unconstrained Online Learning
  34. NeurIPS 2024Generalized Linear Bandits with Limited Adaptivity
  35. NeurIPS 2024Global Rewards in Restless Multi-Armed Bandits
  36. NeurIPS 2024Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
  37. NeurIPS 2024Gradient-Variation Online Learning under Generalized Smoothness
  38. NeurIPS 2024GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration
  39. NeurIPS 2024Group-wise oracle-efficient algorithms for online multi-group learning
  40. NeurIPS 2024HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting
  41. NeurIPS 2024Honor Among Bandits: No-Regret Learning for Online Fair Division
  42. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
  43. NeurIPS 2024Identifying Equivalent Training Dynamics
  44. NeurIPS 2024Improved Algorithms for Contextual Dynamic Pricing
  45. NeurIPS 2024Improved Analysis for Bandit Learning in Matching Markets
  46. NeurIPS 2024Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
  47. NeurIPS 2024Improved learning rates in multi-unit uniform price auctions
  48. NeurIPS 2024Improved Regret for Bandit Convex Optimization with Delayed Feedback
  49. NeurIPS 2024Improved Regret of Linear Ensemble Sampling
  50. NeurIPS 2024Information-theoretic Limits of Online Classification with Noisy Labels

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接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查理论 · online learning在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "theory-online-learning"}

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常见问题

2023–2026 年四大会议一共有多少篇理论 · online learning论文？
共 763 篇，按年份分别是 2023 年 164 篇、2024 年 224 篇、2025 年 185 篇、2026 年 190 篇。
NeurIPS 2026 有多少篇理论 · online learning论文？
NeurIPS 2026 有 68 篇理论 · online learning论文，上一届是 89 篇。
ICLR 2026 有多少篇理论 · online learning论文？
ICLR 2026 有 27 篇理论 · online learning论文，上一届是 18 篇。
ICML 2026 有多少篇理论 · online learning论文？
ICML 2026 有 86 篇理论 · online learning论文，上一届是 74 篇。
CVPR 2026 有多少篇理论 · online learning论文？
CVPR 2026 有 9 篇理论 · online learning论文，上一届是 4 篇。
哪个会议的理论 · online learning论文最多？
NeurIPS，2023–2026 年共 427 篇。

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