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

164 papers, page 3 of 4

101. NeurIPS 2023No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand
102. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
103. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
104. NeurIPS 2023No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
105. NeurIPS 2023Non-stationary Experimental Design under Linear Trends
106. NeurIPS 2023On kernel-based statistical learning theory in the mean field limit
107. NeurIPS 2023On the Learnability of Multilabel Ranking
108. NeurIPS 2023On the Minimax Regret for Online Learning with Feedback Graphs
109. NeurIPS 2023On the Sublinear Regret of GP-UCB
110. NeurIPS 2023Online Ad Allocation with Predictions
111. NeurIPS 2023Online Ad Procurement in Non-stationary Autobidding Worlds
112. NeurIPS 2023Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
113. NeurIPS 2023Online Constrained Meta-Learning: Provable Guarantees for Generalization
114. NeurIPS 2023Online Control for Meta-optimization
115. NeurIPS 2023Online Convex Optimization with Unbounded Memory
116. NeurIPS 2023Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
117. NeurIPS 2023Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
118. NeurIPS 2023Online learning of long-range dependencies
119. NeurIPS 2023Online Learning under Adversarial Nonlinear Constraints
120. NeurIPS 2023Online List Labeling with Predictions
121. NeurIPS 2023Online Nonstochastic Model-Free Reinforcement Learning
122. NeurIPS 2023Online PCA in Converging Self-consistent Field Equations
123. NeurIPS 2023Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games
124. NeurIPS 2023Online Pricing for Multi-User Multi-Item Markets
125. NeurIPS 2023Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
126. NeurIPS 2023Online robust non-stationary estimation
127. NeurIPS 2023Optimal Learners for Realizable Regression: PAC Learning and Online Learning
128. NeurIPS 2023Optimal Rates for Bandit Nonstochastic Control
129. NeurIPS 2023Optimistic Meta-Gradients
130. NeurIPS 2023Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
131. NeurIPS 2023Partial Matrix Completion
132. NeurIPS 2023Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
133. NeurIPS 2023Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
134. NeurIPS 2023Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
135. NeurIPS 2023Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games
136. NeurIPS 2023Practical Contextual Bandits with Feedback Graphs
137. NeurIPS 2023Projection-Free Online Convex Optimization via Efficient Newton Iterations
138. NeurIPS 2023Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
139. NeurIPS 2023Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
140. NeurIPS 2023Reliable learning in challenging environments
141. NeurIPS 2023Replicable Clustering
142. NeurIPS 2023Residual Q-Learning: Offline and Online Policy Customization without Value
143. NeurIPS 2023Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning
144. NeurIPS 2023Riemannian Projection-free Online Learning
145. NeurIPS 2023Robust Knowledge Transfer in Tiered Reinforcement Learning
146. NeurIPS 2023Selective Sampling and Imitation Learning via Online Regression
147. NeurIPS 2023Sharp Spectral Rates for Koopman Operator Learning
148. NeurIPS 2023Smoothed Analysis of Sequential Probability Assignment
149. NeurIPS 2023Smoothed Online Learning for Prediction in Piecewise Affine Systems
150. NeurIPS 2023Strategic Apple Tasting

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.