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 2 of 2

51. ICLR 2024Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
52. ICLR 2024Kalman Filter for Online Classification of Non-Stationary Data
53. ICLR 2024Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
54. ICLR 2024Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
55. ICLR 2024Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees
56. ICLR 2024Online Stabilization of Spiking Neural Networks
57. ICLR 2024Oracle Efficient Algorithms for Groupwise Regret
58. ICLR 2024RLIF: Interactive Imitation Learning as Reinforcement Learning
59. ICLR 2023A CMDP-within-online framework for Meta-Safe Reinforcement Learning
60. ICLR 2023Continual Transformers: Redundancy-Free Attention for Online Inference
61. ICLR 2023Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
62. ICLR 2023Extreme Q-Learning: MaxEnt RL without Entropy
63. ICLR 2023Hebbian Deep Learning Without Feedback
64. ICLR 2023Hybrid RL: Using both offline and online data can make RL efficient
65. ICLR 2023Learning in temporally structured environments
66. ICLR 2023Learning Rationalizable Equilibria in Multiplayer Games
67. ICLR 2023Meta-Learning in Games
68. ICLR 2023Multi-Objective Online Learning
69. ICLR 2023New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
70. ICLR 2023Online Bias Correction for Task-Free Continual Learning
71. ICLR 2023Online Boundary-Free Continual Learning by Scheduled Data Prior
72. ICLR 2023Online Low Rank Matrix Completion
73. ICLR 2023PAC Reinforcement Learning for Predictive State Representations
74. ICLR 2023Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
75. ICLR 2023The Role of Coverage in 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.