Theory · online learning papers, 2023–2026
Theory area: online_learning
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 763 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 101 | 17 | 39 | 7 | 164 |
| 2024 | 169 | 13 | 34 | 8 | 224 |
| 2025 | 89 | 18 | 74 | 4 | 185 |
| 2026 | 68 | 27 | 86 | 9 | 190 |
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 6 of 16
- ICML 2025Near Optimal Non-asymptotic Sample Complexity of 1-Identification
- ICML 2025Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
- ICML 2025Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback
- ICML 2025Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback
- ICML 2025Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
- ICML 2025Offline Learning for Combinatorial Multi-armed Bandits
- ICML 2025On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
- ICML 2025Online Clustering of Dueling Bandits
- ICML 2025Online Conformal Prediction via Online Optimization
- ICML 2025Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
- ICML 2025Online Episodic Convex Reinforcement Learning
- ICML 2025Online Laplacian-Based Representation Learning in Reinforcement Learning
- ICML 2025Online Learning in Risk Sensitive constrained MDP
- ICML 2025Online Learning in the Random-Order Model
- ICML 2025Online Learning with Unknown Constraints
- ICML 2025Online Linear Classification with Massart Noise
- ICML 2025Online Pre-Training for Offline-to-Online Reinforcement Learning
- ICML 2025Online Sparsification of Bipartite-Like Clusters in Graphs
- ICML 2025Optimal Algorithm for Max-Min Fair Bandit
- ICML 2025Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
- ICML 2025Partially Observable Reinforcement Learning with Memory Traces
- ICML 2025Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity
- ICML 2025Revisiting Differentially Private Algorithms for Decentralized Online Learning
- ICML 2025Revisiting the Predictability of Performative, Social Events
- ICML 2025Reward-free World Models for Online Imitation Learning
- ICML 2025Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
- ICML 2025Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
- ICML 2025Sleeping Reinforcement Learning
- ICML 2025Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning
- ICML 2025Stochastic Online Conformal Prediction with Semi-Bandit Feedback
- ICML 2025The Batch Complexity of Bandit Pure Exploration
- ICML 2025The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback
- ICML 2025Tracking Most Significant Shifts in Infinite-Armed Bandits
- ICML 2025Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
- ICML 2025Value-Based Deep RL Scales Predictably
- ICML 2025Zero-Inflated Bandits
- NeurIPS 2025A Learning-Augmented Approach to Online Allocation Problems
- NeurIPS 2025Agnostic Continuous-Time Online Learning
- NeurIPS 2025An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
- NeurIPS 2025Asymptotic theory of SGD with a general learning-rate
- NeurIPS 2025Bandit and Delayed Feedback in Online Structured Prediction
- NeurIPS 2025Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
- NeurIPS 2025Computable universal online learning
- NeurIPS 2025Conformal Online Learning of Deep Koopman Linear Embeddings
- NeurIPS 2025Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
- NeurIPS 2025Consistency of the $k_n$-nearest neighbor rule under adaptive sampling
- NeurIPS 2025Contextual Online Pricing with (Biased) Offline Data
- NeurIPS 2025Dynamic Regret Reduces to Kernelized Static Regret
- NeurIPS 2025Efficient Last-Iterate Convergence in Solving Extensive-Form Games
- NeurIPS 2025Efficient Spectral Control of Partially Observed Linear Dynamical Systems
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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.