Theory · online learning papers, 2023–2026

Theory area: online_learning

Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 763 papers are tagged with this topic.

Key findings

Papers per year

Papers per venue

Counts by year and venue

Theory · online learning papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202310117397164
202416913348224
20258918744185
20266827869190

Representative papers

Spread across years and venues so every edition shows up

All Theory · online learning papers

YearAll2023202420252026
VenueAllNeurIPSICLRICMLCVPR

763 papers, page 15 of 16

  1. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
  2. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
  3. NeurIPS 2023No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
  4. NeurIPS 2023Non-stationary Experimental Design under Linear Trends
  5. NeurIPS 2023On kernel-based statistical learning theory in the mean field limit
  6. NeurIPS 2023On the Learnability of Multilabel Ranking
  7. NeurIPS 2023On the Minimax Regret for Online Learning with Feedback Graphs
  8. NeurIPS 2023On the Sublinear Regret of GP-UCB
  9. NeurIPS 2023Online Ad Allocation with Predictions
  10. NeurIPS 2023Online Ad Procurement in Non-stationary Autobidding Worlds
  11. NeurIPS 2023Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
  12. NeurIPS 2023Online Constrained Meta-Learning: Provable Guarantees for Generalization
  13. NeurIPS 2023Online Control for Meta-optimization
  14. NeurIPS 2023Online Convex Optimization with Unbounded Memory
  15. NeurIPS 2023Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
  16. NeurIPS 2023Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
  17. NeurIPS 2023Online learning of long-range dependencies
  18. NeurIPS 2023Online Learning under Adversarial Nonlinear Constraints
  19. NeurIPS 2023Online List Labeling with Predictions
  20. NeurIPS 2023Online Nonstochastic Model-Free Reinforcement Learning
  21. NeurIPS 2023Online PCA in Converging Self-consistent Field Equations
  22. NeurIPS 2023Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games
  23. NeurIPS 2023Online Pricing for Multi-User Multi-Item Markets
  24. NeurIPS 2023Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
  25. NeurIPS 2023Online robust non-stationary estimation
  26. NeurIPS 2023Optimal Learners for Realizable Regression: PAC Learning and Online Learning
  27. NeurIPS 2023Optimal Rates for Bandit Nonstochastic Control
  28. NeurIPS 2023Optimistic Meta-Gradients
  29. NeurIPS 2023Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
  30. NeurIPS 2023Partial Matrix Completion
  31. NeurIPS 2023Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
  32. NeurIPS 2023Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
  33. NeurIPS 2023Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
  34. NeurIPS 2023Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games
  35. NeurIPS 2023Practical Contextual Bandits with Feedback Graphs
  36. NeurIPS 2023Projection-Free Online Convex Optimization via Efficient Newton Iterations
  37. NeurIPS 2023Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
  38. NeurIPS 2023Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
  39. NeurIPS 2023Reliable learning in challenging environments
  40. NeurIPS 2023Replicable Clustering
  41. NeurIPS 2023Residual Q-Learning: Offline and Online Policy Customization without Value
  42. NeurIPS 2023Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning
  43. NeurIPS 2023Riemannian Projection-free Online Learning
  44. NeurIPS 2023Robust Knowledge Transfer in Tiered Reinforcement Learning
  45. NeurIPS 2023Selective Sampling and Imitation Learning via Online Regression
  46. NeurIPS 2023Sharp Spectral Rates for Koopman Operator Learning
  47. NeurIPS 2023Smoothed Analysis of Sequential Probability Assignment
  48. NeurIPS 2023Smoothed Online Learning for Prediction in Piecewise Affine Systems
  49. NeurIPS 2023Strategic Apple Tasting
  50. NeurIPS 2023Strategic Classification under Unknown Personalized Manipulation

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FAQ

How many Theory · online learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
763 in total: 164 in 2023, 224 in 2024, 185 in 2025, 190 in 2026.
How many Theory · online learning papers are at NeurIPS 2026?
NeurIPS 2026 has 68 Theory · online learning papers, versus 89 the year before.
How many Theory · online learning papers are at ICLR 2026?
ICLR 2026 has 27 Theory · online learning papers, versus 18 the year before.
How many Theory · online learning papers are at ICML 2026?
ICML 2026 has 86 Theory · online learning papers, versus 74 the year before.
How many Theory · online learning papers are at CVPR 2026?
CVPR 2026 has 9 Theory · online learning papers, versus 4 the year before.
Which conference publishes the most Theory · online learning papers?
NeurIPS, with 427 papers from 2023 to 2026.

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