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 4 of 5

151. ICML 2025Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
152. ICML 2025Sleeping Reinforcement Learning
153. ICML 2025Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning
154. ICML 2025Stochastic Online Conformal Prediction with Semi-Bandit Feedback
155. ICML 2025The Batch Complexity of Bandit Pure Exploration
156. ICML 2025The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback
157. ICML 2025Tracking Most Significant Shifts in Infinite-Armed Bandits
158. ICML 2025Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
159. ICML 2025Value-Based Deep RL Scales Predictably
160. ICML 2025Zero-Inflated Bandits
161. ICML 2024Adaptively Learning to Select-Rank in Online Platforms
162. ICML 2024ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
163. ICML 2024BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition
164. ICML 2024Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning
165. ICML 2024Convergence of Online Learning Algorithm for a Mixture of Multiple Linear Regressions
166. ICML 2024Discounted Adaptive Online Learning: Towards Better Regularization
167. ICML 2024Efficient Online Set-valued Classification with Bandit Feedback
168. ICML 2024Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning
169. ICML 2024Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces
170. ICML 2024MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
171. ICML 2024Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning
172. ICML 2024NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks
173. ICML 2024Non-parametric Online Change Point Detection on Riemannian Manifolds
174. ICML 2024OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
175. ICML 2024On Online Experimentation without Device Identifiers
176. ICML 2024Online Adaptive Anomaly Thresholding with Confidence Sequences
177. ICML 2024Online Algorithms with Uncertainty-Quantified Predictions
178. ICML 2024Online bipartite matching with imperfect advice
179. ICML 2024Online Cascade Learning for Efficient Inference over Streams
180. ICML 2024Online conformal prediction with decaying step sizes
181. ICML 2024Online Isolation Forest
182. ICML 2024Online Learning in Betting Markets: Profit versus Prediction
183. ICML 2024Online Learning with Bounded Recall
184. ICML 2024Online Linear Regression in Dynamic Environments via Discounting
185. ICML 2024Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning
186. ICML 2024Online Matrix Completion: A Collaborative Approach with Hott Items
187. ICML 2024Online Resource Allocation with Non-Stationary Customers
188. ICML 2024Online Speculative Decoding
189. ICML 2024Online Variational Sequential Monte Carlo
190. ICML 2024Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms
191. ICML 2024Predictive Linear Online Tracking for Unknown Targets
192. ICML 2024Rethinking Momentum Knowledge Distillation in Online Continual Learning
193. ICML 2024Scalable Online Exploration via Coverability
194. ICML 2024Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
195. ICML 2023Actor-Critic Alignment for Offline-to-Online Reinforcement Learning
196. ICML 2023Applied Online Algorithms with Heterogeneous Predictors
197. ICML 2023Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
198. ICML 2023Bayesian online change point detection with Hilbert space approximate Student-t process
199. ICML 2023Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
200. ICML 2023Doubly Optimal No-Regret Learning in Monotone Games

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.