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

763 papers, page 4 of 16

151. NeurIPS 2026Lyapunov-Driven Optimistic Learning for Online Scheduling with Multi-Stage Tasks
152. NeurIPS 2026MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
153. NeurIPS 2026Mitigating Compounding Errors in Online Reinforcement Learning via Optimal Transport Regularized Flow Matching
154. NeurIPS 2026Mixture-of-Experts for Online Matrix Completion on a Drifting Union of Subspaces
155. NeurIPS 2026MonoChunk3D: Monocular Online 3D Instance Segmentation with Persistent Instance States
156. NeurIPS 2026Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning
157. NeurIPS 2026Online Bayesian Recalibration of Brain–Computer Interfaces with Language Model Potentials
158. NeurIPS 2026Online Control with Multiple Sensors
159. NeurIPS 2026Online Data Selection for Instruction Tuning via Gaussian Processes
160. NeurIPS 2026Online Decision-Focused Learning under Semi-Bandit Feedback
161. NeurIPS 2026Online Directional Regression for Streaming Sufficient Dimension Reduction
162. NeurIPS 2026Online Evaluation of LLMs via Dyadic Designs
163. NeurIPS 2026Online Fair Division Meets Reordering Buffers
164. NeurIPS 2026Online Learning in Stabilized Linear Dynamical Games with Adversarial Disturbances
165. NeurIPS 2026Online Learning via Learned Latent Bayesian Tracking
166. NeurIPS 2026Online Localized Conformal Prediction
167. NeurIPS 2026Online Minimum Description Length Passive-Aggressive Algorithms
168. NeurIPS 2026Online Quantile Omniprediction for Proper Losses
169. NeurIPS 2026Online Resource Allocation With General Constraints
170. NeurIPS 2026Online Set Learning from Precision and Recall Feedback
171. NeurIPS 2026Optimal Recalibration of an Online Predictor
172. NeurIPS 2026Oracle-Robust Online Alignment for Large Language Models
173. NeurIPS 2026OWCE: Revealing Language Model Complementarity via Online Weakness-Conditioned Evaluation
174. NeurIPS 2026Personalized and Collaborative Online LQR via Thompson Sampling
175. NeurIPS 2026Posterior Sampling-based Online Learning for Episodic POMDPs
176. NeurIPS 2026Propagation of Chaos in Contextual Flow Maps
177. NeurIPS 2026Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences
178. NeurIPS 2026Regret–Oracle Complexity Tradeoffs in Agnostic Online Learning
179. NeurIPS 2026Replicable Constrained Bandits
180. NeurIPS 2026Risk-Averse Online POMDP Planning via CVaR of the Immediate Cost with Performance Guarantees
181. NeurIPS 2026RL-Inf: Tracking Non-local Training Data Influence for Online Reinforcement Learning
182. NeurIPS 2026Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning
183. NeurIPS 2026Speed Predictions for Online Energy-Efficient Scheduling
184. NeurIPS 2026Strongly Adaptive Online Learning with Time-Varying Movement Cost
185. NeurIPS 2026Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale
186. NeurIPS 2026The Minimax Rate of Online Isotonic Regression on Product Orders
187. NeurIPS 2026The Power of a Random Sample in Online Algorithms
188. NeurIPS 2026Token Filtering: Online Attention Pruning via KV Similarity for Efficient LLM Inference
189. NeurIPS 2026Toward Online Robust Zero-Sum Markov Games with Function Approximation
190. NeurIPS 2026When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon
191. CVPR 2025Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
192. CVPR 2025InteractionMap: Improving Online Vectorized HDMap Construction with Interaction
193. CVPR 2025Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret
194. CVPR 2025Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution
195. ICLR 2025Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
196. ICLR 2025An Online Learning Theory of Trading-Volume Maximization
197. ICLR 2025Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
198. ICLR 2025DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
199. ICLR 2025Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
200. ICLR 2025Event-Driven Online Vertical Federated 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.