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

101 papers, page 1 of 3

1. NeurIPS 2023$\varepsilon$-fractional core stability in Hedonic Games.
2. NeurIPS 2023A Batch-to-Online Transformation under Random-Order Model
3. NeurIPS 2023A Theory of Multimodal Learning
4. NeurIPS 2023A Trichotomy for Transductive Online Learning
5. NeurIPS 2023Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
6. NeurIPS 2023Adaptive Selective Sampling for Online Prediction with Experts
7. NeurIPS 2023Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
8. NeurIPS 2023Adversarial Attacks on Online Learning to Rank with Click Feedback
9. NeurIPS 2023Advice Querying under Budget Constraint for Online Algorithms
10. NeurIPS 2023Alternation makes the adversary weaker in two-player games
11. NeurIPS 2023An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
12. NeurIPS 2023Anytime Model Selection in Linear Bandits
13. NeurIPS 2023Attacks on Online Learners: a Teacher-Student Analysis
14. NeurIPS 2023Bandit Social Learning under Myopic Behavior
15. NeurIPS 2023Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
16. NeurIPS 2023Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
17. NeurIPS 2023Characterization of Overfitting in Robust Multiclass Classification
18. NeurIPS 2023Common Ground in Cooperative Communication
19. NeurIPS 2023Contextual Bandits and Imitation Learning with Preference-Based Active Queries
20. NeurIPS 2023Discrete-Smoothness in Online Algorithms with Predictions
21. NeurIPS 2023Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
22. NeurIPS 2023Efficient Online Clustering with Moving Costs
23. NeurIPS 2023Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
24. NeurIPS 2023Faster Relative Entropy Coding with Greedy Rejection Coding
25. NeurIPS 2023Feature Selection in the Contrastive Analysis Setting
26. NeurIPS 2023Finding Safe Zones of Markov Decision Processes Policies
27. NeurIPS 2023Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
28. NeurIPS 2023Generalized Belief Transport
29. NeurIPS 2023Information Theoretic Lower Bounds for Information Theoretic Upper Bounds
30. NeurIPS 2023Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective
31. NeurIPS 2023Learning via Wasserstein-Based High Probability Generalisation Bounds
32. NeurIPS 2023Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
33. NeurIPS 2023Model-Free Reinforcement Learning with the Decision-Estimation Coefficient
34. NeurIPS 2023Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
35. NeurIPS 2023Nash Regret Guarantees for Linear Bandits
36. NeurIPS 2023New Bounds for Hyperparameter Tuning of Regression Problems Across Instances
37. NeurIPS 2023No-regret Algorithms for Fair Resource Allocation
38. NeurIPS 2023No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand
39. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
40. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
41. NeurIPS 2023No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
42. NeurIPS 2023Non-stationary Experimental Design under Linear Trends
43. NeurIPS 2023On kernel-based statistical learning theory in the mean field limit
44. NeurIPS 2023On the Learnability of Multilabel Ranking
45. NeurIPS 2023On the Minimax Regret for Online Learning with Feedback Graphs
46. NeurIPS 2023On the Sublinear Regret of GP-UCB
47. NeurIPS 2023Online Ad Allocation with Predictions
48. NeurIPS 2023Online Ad Procurement in Non-stationary Autobidding Worlds
49. NeurIPS 2023Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
50. NeurIPS 2023Online Constrained Meta-Learning: Provable Guarantees for Generalization

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.