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 7 / 9 页

  1. NeurIPS 2024Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
  2. NeurIPS 2024Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
  3. NeurIPS 2024Smoothed Online Classification can be Harder than Batch Classification
  4. NeurIPS 2024Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
  5. NeurIPS 2024Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
  6. NeurIPS 2024Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks
  7. NeurIPS 2024State-free Reinforcement Learning
  8. NeurIPS 2024Stochastic contextual bandits with graph feedback: from independence number to MAS number
  9. NeurIPS 2024Strategic Linear Contextual Bandits
  10. NeurIPS 2024Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
  11. NeurIPS 2024Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
  12. NeurIPS 2024Symmetric Linear Bandits with Hidden Symmetry
  13. NeurIPS 2024Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting
  14. NeurIPS 2024Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
  15. NeurIPS 2024Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
  16. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
  17. NeurIPS 2024The Power of Resets in Online Reinforcement Learning
  18. NeurIPS 2024The Secretary Problem with Predicted Additive Gap
  19. NeurIPS 2024Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
  20. NeurIPS 2024Tight Rates for Bandit Control Beyond Quadratics
  21. NeurIPS 2024Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
  22. NeurIPS 2024Truthfulness of Calibration Measures
  23. NeurIPS 2024UDON: Universal Dynamic Online distillatioN for generic image representations
  24. NeurIPS 2024Universal Online Convex Optimization with $1$ Projection per Round
  25. NeurIPS 2024WATT: Weight Average Test Time Adaptation of CLIP
  26. NeurIPS 2024When Is Inductive Inference Possible?
  27. NeurIPS 2023$\varepsilon$-fractional core stability in Hedonic Games.
  28. NeurIPS 2023A Batch-to-Online Transformation under Random-Order Model
  29. NeurIPS 2023A Theory of Multimodal Learning
  30. NeurIPS 2023A Trichotomy for Transductive Online Learning
  31. NeurIPS 2023Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
  32. NeurIPS 2023Adaptive Selective Sampling for Online Prediction with Experts
  33. NeurIPS 2023Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
  34. NeurIPS 2023Adversarial Attacks on Online Learning to Rank with Click Feedback
  35. NeurIPS 2023Advice Querying under Budget Constraint for Online Algorithms
  36. NeurIPS 2023Alternation makes the adversary weaker in two-player games
  37. NeurIPS 2023An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
  38. NeurIPS 2023Anytime Model Selection in Linear Bandits
  39. NeurIPS 2023Attacks on Online Learners: a Teacher-Student Analysis
  40. NeurIPS 2023Bandit Social Learning under Myopic Behavior
  41. NeurIPS 2023Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
  42. NeurIPS 2023Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
  43. NeurIPS 2023Characterization of Overfitting in Robust Multiclass Classification
  44. NeurIPS 2023Common Ground in Cooperative Communication
  45. NeurIPS 2023Contextual Bandits and Imitation Learning with Preference-Based Active Queries
  46. NeurIPS 2023Discrete-Smoothness in Online Algorithms with Predictions
  47. NeurIPS 2023Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
  48. NeurIPS 2023Efficient Online Clustering with Moving Costs
  49. NeurIPS 2023Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
  50. NeurIPS 2023Faster Relative Entropy Coding with Greedy Rejection Coding

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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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