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

68 papers, page 1 of 2

1. NeurIPS 2026A Compass for Useful Data: Online Data Selection via Alignment-Gated Fisher Geometry
2. NeurIPS 2026A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming
3. NeurIPS 2026A Theory of Adversary-Directed Online Learning
4. NeurIPS 2026A Theory of Online Learning with Autoregressive Chain-of-Thought Reasoning
5. NeurIPS 2026Adaptive Calibration in Non-Stationary Environments
6. NeurIPS 2026Agnostic Online Learning with Reliable Abstention
7. NeurIPS 2026BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates
8. NeurIPS 2026Beyond Row Alignment: Virtual-Camera-Aware Online Stereo Rectification
9. NeurIPS 2026Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations
10. NeurIPS 2026Bilinear Matching Bandits
11. NeurIPS 2026Curvature-Dependent Lower Bounds for Riemannian Online Convex Optimization
12. NeurIPS 2026Deployment-Time Online Imitation Learning from Corrective Demonstrations
13. NeurIPS 2026Direction-Aware Offline-to-Online Learning in Linear Contextual Bandits
14. NeurIPS 2026Evidence Guided Dual Expert Memory with Joint Routing for VLLMs Online Correction
15. NeurIPS 2026Filtered-Trace Online Variational Training for Probabilistic Spiking Neural Networks
16. NeurIPS 2026First-Order Regret for Online Convex Optimization with Memory and Online Nonstochastic Control
17. NeurIPS 2026Flux: Online, Fine-Grained Data Scheduling for Training Machine Learning Interatomic Potentials
18. NeurIPS 2026From Generic to Dedicated: A Novel Optimizer for Online Continual Learning
19. NeurIPS 2026From POMDP Theory to Deep RL with Particle Filters
20. NeurIPS 2026Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice
21. NeurIPS 2026GHOST: Geometry-Hierarchical Online Streaming Token Eviction for Efficient 3D Reconstruction
22. NeurIPS 2026HALO-VGGT: Heterogeneity-Aware Lightweight Online Compression Allocator for Efficient VGGT
23. NeurIPS 2026High Probability Risk Control for Online Policy Learning
24. NeurIPS 2026Improved Algorithms for Online Classification with Surrogate Losses
25. NeurIPS 2026Instance-Adaptive Online Multicalibration
26. NeurIPS 2026Learning to Price with Persuasion
27. NeurIPS 2026Learning-Augmented Online Portfolio Selection: Optimal Robustness-Consistency Tradeoffs
28. NeurIPS 2026Learning-Augmented Online Scheduling with Parsimonious Preemption
29. NeurIPS 2026Lyapunov-Driven Optimistic Learning for Online Scheduling with Multi-Stage Tasks
30. NeurIPS 2026MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
31. NeurIPS 2026Mitigating Compounding Errors in Online Reinforcement Learning via Optimal Transport Regularized Flow Matching
32. NeurIPS 2026Mixture-of-Experts for Online Matrix Completion on a Drifting Union of Subspaces
33. NeurIPS 2026MonoChunk3D: Monocular Online 3D Instance Segmentation with Persistent Instance States
34. NeurIPS 2026Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning
35. NeurIPS 2026Online Bayesian Recalibration of Brain–Computer Interfaces with Language Model Potentials
36. NeurIPS 2026Online Control with Multiple Sensors
37. NeurIPS 2026Online Data Selection for Instruction Tuning via Gaussian Processes
38. NeurIPS 2026Online Decision-Focused Learning under Semi-Bandit Feedback
39. NeurIPS 2026Online Directional Regression for Streaming Sufficient Dimension Reduction
40. NeurIPS 2026Online Evaluation of LLMs via Dyadic Designs
41. NeurIPS 2026Online Fair Division Meets Reordering Buffers
42. NeurIPS 2026Online Learning in Stabilized Linear Dynamical Games with Adversarial Disturbances
43. NeurIPS 2026Online Learning via Learned Latent Bayesian Tracking
44. NeurIPS 2026Online Localized Conformal Prediction
45. NeurIPS 2026Online Minimum Description Length Passive-Aggressive Algorithms
46. NeurIPS 2026Online Quantile Omniprediction for Proper Losses
47. NeurIPS 2026Online Resource Allocation With General Constraints
48. NeurIPS 2026Online Set Learning from Precision and Recall Feedback
49. NeurIPS 2026Optimal Recalibration of an Online Predictor
50. NeurIPS 2026Oracle-Robust Online Alignment for Large Language Models

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.