Theory · online learning papers, 2023–2026

Key findings

• Theory · online learning went from 164 papers in 2023 to 190 in 2026, roughly 1.2x in three years.
• NeurIPS publishes the most Theory · online learning work: 427 papers from 2023 to 2026, 56% of the four-venue total.
• The fastest-growing overlap is with Simulation for Driving: papers tagged with both rose from 1 in 2023 to 12 in 2026.
• Among the 5 topics under Theory and Statistics, it ranks #3 by 2026 paper count; the fastest grower in the group, Theory · learning theory, is up 5.6x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming
• ICML 2026A Perturbation Approach to Unconstrained Linear Bandits
• ICLR 2026Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
• CVPR 2026An Optimal Transport-driven Approach for Cultivating Latent Space in Online
• NeurIPS 2025A Learning-Augmented Approach to Online Allocation Problems
• ICML 2025A Classification View on Meta Learning Bandits
• ICLR 2025Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
• CVPR 2025InteractionMap: Improving Online Vectorized HDMap Construction with Interaction
• NeurIPS 2024A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
• ICML 2024On Online Experimentation without Device Identifiers
• ICLR 2024Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
• CVPR 2024Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning
• NeurIPS 2023$\varepsilon$-fractional core stability in Hedonic Games.
• ICML 2023Applied Online Algorithms with Heterogeneous Predictors
• ICLR 2023Hebbian Deep Learning Without Feedback
• CVPR 2023VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos
• NeurIPS 2026A Theory of Adversary-Directed Online Learning
• ICML 2026A Two-Layer Framework for Joint Online Configuration Selection and Admission Control
• ICLR 2026A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
• CVPR 2026Dynamic Momentum Recalibration in Online Gradient Learning

All Theory · online learning papers

75 papers, page 1 of 2

1. ICLR 2026A New Approach to Controlling Linear Dynamical Systems
2. ICLR 2026A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
3. ICLR 2026Bandit Learning in Matching Markets Robust to Adversarial Corruptions
4. ICLR 2026Best-of-three-worlds Analysis for Dueling Bandits with Borda Winner
5. ICLR 2026BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning
6. ICLR 2026Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms
7. ICLR 2026Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
8. ICLR 2026DiffusionNFT: Online Diffusion Reinforcement with Forward Process
9. ICLR 2026Humanline: Online Alignment as Perceptual Loss
10. ICLR 2026Learning in Prophet Inequalities with Noisy Observations
11. ICLR 2026Nonparametric Contextual Online Bilateral Trade
12. ICLR 2026Online Conformal Prediction with Adversarial Feedback via Regret Minimization
13. ICLR 2026Online Decision-Focused Learning
14. ICLR 2026Online Inventory Optimization in Non-Stationary Environment
15. ICLR 2026Online Learning and Equilibrium Computation with Ranking Feedback
16. ICLR 2026Online Prediction of Stochastic Sequences with High Probability Regret Bounds
17. ICLR 2026Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
18. ICLR 2026Online Rounding and Learning Augmented Algorithms for Facility Location
19. ICLR 2026Online time series prediction using feature adjustment
20. ICLR 2026Oracle-efficient Hybrid Learning with Constrained Adversaries
21. ICLR 2026Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
22. ICLR 2026RL's Razor: Why Online Reinforcement Learning Forgets Less
23. ICLR 2026Semi-Parametric Contextual Pricing with General Smoothness
24. ICLR 2026Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
25. ICLR 2026ST-HHOL: Spatio-Temporal Hierarchical Hypergraph Online Learning for Crime Prediction
26. ICLR 2026The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective
27. ICLR 2026TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
28. ICLR 2025Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
29. ICLR 2025An Online Learning Theory of Trading-Volume Maximization
30. ICLR 2025Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
31. ICLR 2025DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
32. ICLR 2025Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
33. ICLR 2025Event-Driven Online Vertical Federated Learning
34. ICLR 2025Feature-Based Online Bilateral Trade
35. ICLR 2025Hessian-Free Online Certified Unlearning
36. ICLR 2025Longhorn: State Space Models are Amortized Online Learners
37. ICLR 2025Minimalistic Predictions for Online Class Constraint Scheduling
38. ICLR 2025On Bits and Bandits: Quantifying the Regret-Information Trade-off
39. ICLR 2025Online Clustering with Nearly Optimal Consistency
40. ICLR 2025ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS
41. ICLR 2025Online Reinforcement Learning in Non-Stationary Context-Driven Environments
42. ICLR 2025Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
43. ICLR 2025Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
44. ICLR 2025Satisficing Regret Minimization in Bandits
45. ICLR 2025Simplifying Deep Temporal Difference Learning
46. ICLR 2024Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation
47. ICLR 2024Bandits with Replenishable Knapsacks: the Best of both Worlds
48. ICLR 2024Contextual Bandits with Online Neural Regression
49. ICLR 2024Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
50. ICLR 2024Harnessing Density Ratios for Online Reinforcement Learning

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.