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 7 of 16
- NeurIPS 2025Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
- NeurIPS 2025Explaining the Law of Supply and Demand via Online Learning
- NeurIPS 2025Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
- NeurIPS 2025Exploring the Noise Robustness of Online Conformal Prediction
- NeurIPS 2025Fair Matroid Selection
- NeurIPS 2025Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
- NeurIPS 2025From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards
- NeurIPS 2025Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
- NeurIPS 2025Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules
- NeurIPS 2025Gradient-Guided Epsilon Constraint Method for Online Continual Learning
- NeurIPS 2025High-Dimensional Calibration from Swap Regret
- NeurIPS 2025HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location
- NeurIPS 2025Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning
- NeurIPS 2025Improved Regret Bounds for Linear Bandits with Heavy-Tailed Rewards
- NeurIPS 2025Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints
- NeurIPS 2025Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
- NeurIPS 2025Kernel conditional tests from learning-theoretic bounds
- NeurIPS 2025Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
- NeurIPS 2025Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data
- NeurIPS 2025Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
- NeurIPS 2025Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
- NeurIPS 2025Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach
- NeurIPS 2025Learning-Augmented Algorithms for $k$-median via Online Learning
- NeurIPS 2025Learning-Augmented Online Bidding in Stochastic Settings
- NeurIPS 2025Learning-Augmented Online Bipartite Fractional Matching
- NeurIPS 2025Lyapunov-Stable Adaptive Control for Multimodal Concept Drift
- NeurIPS 2025Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
- NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
- NeurIPS 2025Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
- NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
- NeurIPS 2025Near-Optimal Sample Complexity for Online Constrained MDPs
- NeurIPS 2025No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
- NeurIPS 2025No-Regret Online Autobidding Algorithms in First-price Auctions
- NeurIPS 2025Non-Clairvoyant Scheduling with Progress Bars
- NeurIPS 2025Non-stationary Bandit Convex Optimization: A Comprehensive Study
- NeurIPS 2025Non-Uniform Multiclass Learning with Bandit Feedback
- NeurIPS 2025On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
- NeurIPS 2025On the Universal Near Optimality of Hedge in Combinatorial Settings
- NeurIPS 2025On Union-Closedness of Language Generation
- NeurIPS 2025Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time
- NeurIPS 2025Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound
- NeurIPS 2025Online Learning in the Repeated Mediated Newsvendor Problem
- NeurIPS 2025Online Learning of Neural Networks
- NeurIPS 2025Online Learning of Pure States is as Hard as Mixed States
- NeurIPS 2025Online Locally Differentially Private Conformal Prediction via Binary Inquiries
- NeurIPS 2025Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
- NeurIPS 2025Online Portfolio Selection with ML Predictions
- NeurIPS 2025Online Prediction with Limited Selectivity
- NeurIPS 2025Online robust locally differentially private learning for nonparametric regression
- NeurIPS 2025Online Segment Any 3D Thing as Instance Tracking
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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.