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 12 of 16

551. NeurIPS 2024Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
552. NeurIPS 2024Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits
553. NeurIPS 2024Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms
554. NeurIPS 2024Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits
555. NeurIPS 2024Piecewise-Stationary Bandits with Knapsacks
556. NeurIPS 2024Preference-based Pure Exploration
557. NeurIPS 2024Private Online Learning via Lazy Algorithms
558. NeurIPS 2024PRODuctive bandits: Importance Weighting No More
559. NeurIPS 2024Provably Efficient Interactive-Grounded Learning with Personalized Reward
560. NeurIPS 2024Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning
561. NeurIPS 2024Queueing Matching Bandits with Preference Feedback
562. NeurIPS 2024RanDumb: Random Representations Outperform Online Continually Learned Representations
563. NeurIPS 2024Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
564. NeurIPS 2024Reciprocal Learning
565. NeurIPS 2024REDUCR: Robust Data Downsampling using Class Priority Reweighting
566. NeurIPS 2024Regret Minimization in Stackelberg Games with Side Information
567. NeurIPS 2024Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
568. NeurIPS 2024RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
569. NeurIPS 2024Robust Neural Contextual Bandit against Adversarial Corruptions
570. NeurIPS 2024Saliency-driven Experience Replay for Continual Learning
571. NeurIPS 2024Sample Complexity of Posted Pricing for a Single Item
572. NeurIPS 2024Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
573. NeurIPS 2024Sample-efficient Bayesian Optimisation Using Known Invariances
574. NeurIPS 2024Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
575. NeurIPS 2024Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
576. NeurIPS 2024Smoothed Online Classification can be Harder than Batch Classification
577. NeurIPS 2024Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
578. NeurIPS 2024Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
579. NeurIPS 2024Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks
580. NeurIPS 2024State-free Reinforcement Learning
581. NeurIPS 2024Stochastic contextual bandits with graph feedback: from independence number to MAS number
582. NeurIPS 2024Strategic Linear Contextual Bandits
583. NeurIPS 2024Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
584. NeurIPS 2024Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
585. NeurIPS 2024Symmetric Linear Bandits with Hidden Symmetry
586. NeurIPS 2024Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting
587. NeurIPS 2024Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
588. NeurIPS 2024Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
589. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
590. NeurIPS 2024The Power of Resets in Online Reinforcement Learning
591. NeurIPS 2024The Secretary Problem with Predicted Additive Gap
592. NeurIPS 2024Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
593. NeurIPS 2024Tight Rates for Bandit Control Beyond Quadratics
594. NeurIPS 2024Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
595. NeurIPS 2024Truthfulness of Calibration Measures
596. NeurIPS 2024UDON: Universal Dynamic Online distillatioN for generic image representations
597. NeurIPS 2024Universal Online Convex Optimization with $1$ Projection per Round
598. NeurIPS 2024WATT: Weight Average Test Time Adaptation of CLIP
599. NeurIPS 2024When Is Inductive Inference Possible?
600. CVPR 2023Dealing With Cross-Task Class Discrimination in Online Continual 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.