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

233 papers, page 5 of 5

201. ICML 2023Efficient Online Reinforcement Learning with Offline Data
202. ICML 2023Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
203. ICML 2023Fast Federated Machine Unlearning with Nonlinear Functional Theory
204. ICML 2023Fast Online Node Labeling for Very Large Graphs
205. ICML 2023Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
206. ICML 2023Generalized Implicit Follow-The-Regularized-Leader
207. ICML 2023Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
208. ICML 2023Improved Online Conformal Prediction via Strongly Adaptive Online Learning
209. ICML 2023Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
210. ICML 2023Individually Fair Learning with One-Sided Feedback
211. ICML 2023Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
212. ICML 2023Learning Temporally AbstractWorld Models without Online Experimentation
213. ICML 2023Learning to Bid in Repeated First-Price Auctions with Budgets
214. ICML 2023Leveraging Demonstrations to Improve Online Learning: Quality Matters
215. ICML 2023Leveraging Offline Data in Online Reinforcement Learning
216. ICML 2023Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
217. ICML 2023Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints
218. ICML 2023Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
219. ICML 2023Mixing Predictions for Online Metric Algorithms
220. ICML 2023Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
221. ICML 2023Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
222. ICML 2023Online Learning in Stackelberg Games with an Omniscient Follower
223. ICML 2023Online Learning with Feedback Graphs: The True Shape of Regret
224. ICML 2023Online Platt Scaling with Calibeating
225. ICML 2023Online Restless Bandits with Unobserved States
226. ICML 2023Opponent-Limited Online Search for Imperfect Information Games
227. ICML 2023Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
228. ICML 2023Parallel Online Clustering of Bandits via Hedonic Game
229. ICML 2023Solving Linear Programs with Fast Online Learning Algorithms
230. ICML 2023Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
231. ICML 2023Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
232. ICML 2023Unconstrained Online Learning with Unbounded Losses
233. ICML 2023Understanding the Role of Feedback in Online Learning with Switching Costs

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.