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 8 of 16
- NeurIPS 2025Online Two-Stage Submodular Maximization
- NeurIPS 2025OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects
- NeurIPS 2025Optimal Mistake Bounds for Transductive Online Learning
- NeurIPS 2025Optimal Online Change Detection via Random Fourier Features
- NeurIPS 2025Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits
- NeurIPS 2025Parameter-free Algorithms for the Stochastically Extended Adversarial Model
- NeurIPS 2025Prediction with expert advice under additive noise
- NeurIPS 2025Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
- NeurIPS 2025Purest Quantum State Identification
- NeurIPS 2025ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
- NeurIPS 2025Replicable Online Learning
- NeurIPS 2025Replicable Online pricing
- NeurIPS 2025Robust Contextual Pricing
- NeurIPS 2025Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
- NeurIPS 2025Sparse Optimistic Information Directed Sampling
- NeurIPS 2025Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
- NeurIPS 2025Stochastic Shortest Path with Sparse Adversarial Costs
- NeurIPS 2025Taming Adversarial Constraints in CMDPs
- NeurIPS 2025The Structural Complexity of Matrix-Vector Multiplication
- NeurIPS 2025Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
- NeurIPS 2025Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression
- NeurIPS 2025Training-free Online Video Step Grounding
- NeurIPS 2025True Impact of Cascade Length in Contextual Cascading Bandits
- NeurIPS 2025Truthful Aggregation of LLMs with an Application to Online Advertising
- NeurIPS 2025Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
- CVPR 2024Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning
- CVPR 2024Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning
- CVPR 2024DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
- CVPR 2024Flow-Guided Online Stereo Rectification for Wide Baseline Stereo
- CVPR 2024Improving Plasticity in Online Continual Learning via Collaborative Learning
- CVPR 2024Learning Equi-angular Representations for Online Continual Learning
- CVPR 2024MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction
- CVPR 2024PREGO: Online Mistake Detection in PRocedural EGOcentric Videos
- ICLR 2024Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation
- ICLR 2024Bandits with Replenishable Knapsacks: the Best of both Worlds
- ICLR 2024Contextual Bandits with Online Neural Regression
- ICLR 2024Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
- ICLR 2024Harnessing Density Ratios for Online Reinforcement Learning
- ICLR 2024Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
- ICLR 2024Kalman Filter for Online Classification of Non-Stationary Data
- ICLR 2024Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
- ICLR 2024Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
- ICLR 2024Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees
- ICLR 2024Online Stabilization of Spiking Neural Networks
- ICLR 2024Oracle Efficient Algorithms for Groupwise Regret
- ICLR 2024RLIF: Interactive Imitation Learning as Reinforcement Learning
- ICML 2024Adaptively Learning to Select-Rank in Online Platforms
- ICML 2024ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
- ICML 2024BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition
- ICML 2024Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning
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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.