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 427 篇，第 5 / 9 页

  1. NeurIPS 2024Extensive-Form Game Solving via Blackwell Approachability on Treeplexes
  2. NeurIPS 2024F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
  3. NeurIPS 2024Fair Online Bilateral Trade
  4. NeurIPS 2024Fairness and Efficiency in Online Class Matching
  5. NeurIPS 2024Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
  6. NeurIPS 2024Fast Rates for Bandit PAC Multiclass Classification
  7. NeurIPS 2024Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
  8. NeurIPS 2024Fixed Confidence Best Arm Identification in the Bayesian Setting
  9. NeurIPS 2024Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
  10. NeurIPS 2024Fully Unconstrained Online Learning
  11. NeurIPS 2024Generalized Linear Bandits with Limited Adaptivity
  12. NeurIPS 2024Global Rewards in Restless Multi-Armed Bandits
  13. NeurIPS 2024Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
  14. NeurIPS 2024Gradient-Variation Online Learning under Generalized Smoothness
  15. NeurIPS 2024GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration
  16. NeurIPS 2024Group-wise oracle-efficient algorithms for online multi-group learning
  17. NeurIPS 2024HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting
  18. NeurIPS 2024Honor Among Bandits: No-Regret Learning for Online Fair Division
  19. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
  20. NeurIPS 2024Identifying Equivalent Training Dynamics
  21. NeurIPS 2024Improved Algorithms for Contextual Dynamic Pricing
  22. NeurIPS 2024Improved Analysis for Bandit Learning in Matching Markets
  23. NeurIPS 2024Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
  24. NeurIPS 2024Improved learning rates in multi-unit uniform price auctions
  25. NeurIPS 2024Improved Regret for Bandit Convex Optimization with Delayed Feedback
  26. NeurIPS 2024Improved Regret of Linear Ensemble Sampling
  27. NeurIPS 2024Information-theoretic Limits of Online Classification with Noisy Labels
  28. NeurIPS 2024Label Delay in Online Continual Learning
  29. NeurIPS 2024Learning from Snapshots of Discrete and Continuous Data Streams
  30. NeurIPS 2024Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
  31. NeurIPS 2024Learning to Price Homogeneous Data
  32. NeurIPS 2024Learning-Augmented Algorithms with Explicit Predictors
  33. NeurIPS 2024Linear Causal Bandits: Unknown Graph and Soft Interventions
  34. NeurIPS 2024Local and Adaptive Mirror Descents in Extensive-Form Games
  35. NeurIPS 2024Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
  36. NeurIPS 2024Localized Adaptive Risk Control
  37. NeurIPS 2024Locally Private and Robust Multi-Armed Bandits
  38. NeurIPS 2024Lookback Prophet Inequalities
  39. NeurIPS 2024Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
  40. NeurIPS 2024Maximizing utility in multi-agent environments by anticipating the behavior of other learners
  41. NeurIPS 2024MetaCURL: Non-stationary Concave Utility Reinforcement Learning
  42. NeurIPS 2024Mixture of Experts Meets Prompt-Based Continual Learning
  43. NeurIPS 2024Multi-model Ensemble Conformal Prediction in Dynamic Environments
  44. NeurIPS 2024Multiclass Transductive Online Learning
  45. NeurIPS 2024Mutli-Armed Bandits with Network Interference
  46. NeurIPS 2024Near-Optimality of Contrastive Divergence Algorithms
  47. NeurIPS 2024Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
  48. NeurIPS 2024Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
  49. NeurIPS 2024No-Regret Bandit Exploration based on Soft Tree Ensemble Model
  50. NeurIPS 2024No-Regret Learning for Fair Multi-Agent Social Welfare Optimization

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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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