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 89 篇，第 1 / 2 页

  1. NeurIPS 2025A Learning-Augmented Approach to Online Allocation Problems
  2. NeurIPS 2025Agnostic Continuous-Time Online Learning
  3. NeurIPS 2025An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
  4. NeurIPS 2025Asymptotic theory of SGD with a general learning-rate
  5. NeurIPS 2025Bandit and Delayed Feedback in Online Structured Prediction
  6. NeurIPS 2025Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
  7. NeurIPS 2025Computable universal online learning
  8. NeurIPS 2025Conformal Online Learning of Deep Koopman Linear Embeddings
  9. NeurIPS 2025Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
  10. NeurIPS 2025Consistency of the $k_n$-nearest neighbor rule under adaptive sampling
  11. NeurIPS 2025Contextual Online Pricing with (Biased) Offline Data
  12. NeurIPS 2025Dynamic Regret Reduces to Kernelized Static Regret
  13. NeurIPS 2025Efficient Last-Iterate Convergence in Solving Extensive-Form Games
  14. NeurIPS 2025Efficient Spectral Control of Partially Observed Linear Dynamical Systems
  15. NeurIPS 2025Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
  16. NeurIPS 2025Explaining the Law of Supply and Demand via Online Learning
  17. NeurIPS 2025Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
  18. NeurIPS 2025Exploring the Noise Robustness of Online Conformal Prediction
  19. NeurIPS 2025Fair Matroid Selection
  20. NeurIPS 2025Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
  21. NeurIPS 2025From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards
  22. NeurIPS 2025Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
  23. NeurIPS 2025Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules
  24. NeurIPS 2025Gradient-Guided Epsilon Constraint Method for Online Continual Learning
  25. NeurIPS 2025High-Dimensional Calibration from Swap Regret
  26. NeurIPS 2025HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location
  27. NeurIPS 2025Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning
  28. NeurIPS 2025Improved Regret Bounds for Linear Bandits with Heavy-Tailed Rewards
  29. NeurIPS 2025Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints
  30. NeurIPS 2025Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
  31. NeurIPS 2025Kernel conditional tests from learning-theoretic bounds
  32. NeurIPS 2025Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
  33. NeurIPS 2025Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data
  34. NeurIPS 2025Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
  35. NeurIPS 2025Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
  36. NeurIPS 2025Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach
  37. NeurIPS 2025Learning-Augmented Algorithms for $k$-median via Online Learning
  38. NeurIPS 2025Learning-Augmented Online Bidding in Stochastic Settings
  39. NeurIPS 2025Learning-Augmented Online Bipartite Fractional Matching
  40. NeurIPS 2025Lyapunov-Stable Adaptive Control for Multimodal Concept Drift
  41. NeurIPS 2025Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
  42. NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
  43. NeurIPS 2025Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
  44. NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
  45. NeurIPS 2025Near-Optimal Sample Complexity for Online Constrained MDPs
  46. NeurIPS 2025No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
  47. NeurIPS 2025No-Regret Online Autobidding Algorithms in First-price Auctions
  48. NeurIPS 2025Non-Clairvoyant Scheduling with Progress Bars
  49. NeurIPS 2025Non-stationary Bandit Convex Optimization: A Comprehensive Study
  50. NeurIPS 2025Non-Uniform Multiclass Learning with Bandit Feedback

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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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