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

427 papers, page 3 of 9

101. NeurIPS 2025Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data
102. NeurIPS 2025Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
103. NeurIPS 2025Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
104. NeurIPS 2025Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach
105. NeurIPS 2025Learning-Augmented Algorithms for $k$-median via Online Learning
106. NeurIPS 2025Learning-Augmented Online Bidding in Stochastic Settings
107. NeurIPS 2025Learning-Augmented Online Bipartite Fractional Matching
108. NeurIPS 2025Lyapunov-Stable Adaptive Control for Multimodal Concept Drift
109. NeurIPS 2025Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
110. NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
111. NeurIPS 2025Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
112. NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
113. NeurIPS 2025Near-Optimal Sample Complexity for Online Constrained MDPs
114. NeurIPS 2025No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
115. NeurIPS 2025No-Regret Online Autobidding Algorithms in First-price Auctions
116. NeurIPS 2025Non-Clairvoyant Scheduling with Progress Bars
117. NeurIPS 2025Non-stationary Bandit Convex Optimization: A Comprehensive Study
118. NeurIPS 2025Non-Uniform Multiclass Learning with Bandit Feedback
119. NeurIPS 2025On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
120. NeurIPS 2025On the Universal Near Optimality of Hedge in Combinatorial Settings
121. NeurIPS 2025On Union-Closedness of Language Generation
122. NeurIPS 2025Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time
123. NeurIPS 2025Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound
124. NeurIPS 2025Online Learning in the Repeated Mediated Newsvendor Problem
125. NeurIPS 2025Online Learning of Neural Networks
126. NeurIPS 2025Online Learning of Pure States is as Hard as Mixed States
127. NeurIPS 2025Online Locally Differentially Private Conformal Prediction via Binary Inquiries
128. NeurIPS 2025Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
129. NeurIPS 2025Online Portfolio Selection with ML Predictions
130. NeurIPS 2025Online Prediction with Limited Selectivity
131. NeurIPS 2025Online robust locally differentially private learning for nonparametric regression
132. NeurIPS 2025Online Segment Any 3D Thing as Instance Tracking
133. NeurIPS 2025Online Two-Stage Submodular Maximization
134. NeurIPS 2025OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects
135. NeurIPS 2025Optimal Mistake Bounds for Transductive Online Learning
136. NeurIPS 2025Optimal Online Change Detection via Random Fourier Features
137. NeurIPS 2025Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits
138. NeurIPS 2025Parameter-free Algorithms for the Stochastically Extended Adversarial Model
139. NeurIPS 2025Prediction with expert advice under additive noise
140. NeurIPS 2025Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
141. NeurIPS 2025Purest Quantum State Identification
142. NeurIPS 2025ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
143. NeurIPS 2025Replicable Online Learning
144. NeurIPS 2025Replicable Online pricing
145. NeurIPS 2025Robust Contextual Pricing
146. NeurIPS 2025Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
147. NeurIPS 2025Sparse Optimistic Information Directed Sampling
148. NeurIPS 2025Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
149. NeurIPS 2025Stochastic Shortest Path with Sparse Adversarial Costs
150. NeurIPS 2025Taming Adversarial Constraints in CMDPs

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.