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 8 of 9

351. NeurIPS 2023Feature Selection in the Contrastive Analysis Setting
352. NeurIPS 2023Finding Safe Zones of Markov Decision Processes Policies
353. NeurIPS 2023Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
354. NeurIPS 2023Generalized Belief Transport
355. NeurIPS 2023Information Theoretic Lower Bounds for Information Theoretic Upper Bounds
356. NeurIPS 2023Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective
357. NeurIPS 2023Learning via Wasserstein-Based High Probability Generalisation Bounds
358. NeurIPS 2023Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
359. NeurIPS 2023Model-Free Reinforcement Learning with the Decision-Estimation Coefficient
360. NeurIPS 2023Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
361. NeurIPS 2023Nash Regret Guarantees for Linear Bandits
362. NeurIPS 2023New Bounds for Hyperparameter Tuning of Regression Problems Across Instances
363. NeurIPS 2023No-regret Algorithms for Fair Resource Allocation
364. NeurIPS 2023No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand
365. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
366. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
367. NeurIPS 2023No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
368. NeurIPS 2023Non-stationary Experimental Design under Linear Trends
369. NeurIPS 2023On kernel-based statistical learning theory in the mean field limit
370. NeurIPS 2023On the Learnability of Multilabel Ranking
371. NeurIPS 2023On the Minimax Regret for Online Learning with Feedback Graphs
372. NeurIPS 2023On the Sublinear Regret of GP-UCB
373. NeurIPS 2023Online Ad Allocation with Predictions
374. NeurIPS 2023Online Ad Procurement in Non-stationary Autobidding Worlds
375. NeurIPS 2023Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
376. NeurIPS 2023Online Constrained Meta-Learning: Provable Guarantees for Generalization
377. NeurIPS 2023Online Control for Meta-optimization
378. NeurIPS 2023Online Convex Optimization with Unbounded Memory
379. NeurIPS 2023Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
380. NeurIPS 2023Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
381. NeurIPS 2023Online learning of long-range dependencies
382. NeurIPS 2023Online Learning under Adversarial Nonlinear Constraints
383. NeurIPS 2023Online List Labeling with Predictions
384. NeurIPS 2023Online Nonstochastic Model-Free Reinforcement Learning
385. NeurIPS 2023Online PCA in Converging Self-consistent Field Equations
386. NeurIPS 2023Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games
387. NeurIPS 2023Online Pricing for Multi-User Multi-Item Markets
388. NeurIPS 2023Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
389. NeurIPS 2023Online robust non-stationary estimation
390. NeurIPS 2023Optimal Learners for Realizable Regression: PAC Learning and Online Learning
391. NeurIPS 2023Optimal Rates for Bandit Nonstochastic Control
392. NeurIPS 2023Optimistic Meta-Gradients
393. NeurIPS 2023Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
394. NeurIPS 2023Partial Matrix Completion
395. NeurIPS 2023Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
396. NeurIPS 2023Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
397. NeurIPS 2023Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
398. NeurIPS 2023Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games
399. NeurIPS 2023Practical Contextual Bandits with Feedback Graphs
400. NeurIPS 2023Projection-Free Online Convex Optimization via Efficient Newton Iterations

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.