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 13 of 16

601. CVPR 2023LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
602. CVPR 2023MonoATT: Online Monocular 3D Object Detection With Adaptive Token Transformer
603. CVPR 2023PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning
604. CVPR 2023SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes
605. CVPR 2023Temporally Consistent Online Depth Estimation Using Point-Based Fusion
606. CVPR 2023VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos
607. ICLR 2023A CMDP-within-online framework for Meta-Safe Reinforcement Learning
608. ICLR 2023Continual Transformers: Redundancy-Free Attention for Online Inference
609. ICLR 2023Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
610. ICLR 2023Extreme Q-Learning: MaxEnt RL without Entropy
611. ICLR 2023Hebbian Deep Learning Without Feedback
612. ICLR 2023Hybrid RL: Using both offline and online data can make RL efficient
613. ICLR 2023Learning in temporally structured environments
614. ICLR 2023Learning Rationalizable Equilibria in Multiplayer Games
615. ICLR 2023Meta-Learning in Games
616. ICLR 2023Multi-Objective Online Learning
617. ICLR 2023New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
618. ICLR 2023Online Bias Correction for Task-Free Continual Learning
619. ICLR 2023Online Boundary-Free Continual Learning by Scheduled Data Prior
620. ICLR 2023Online Low Rank Matrix Completion
621. ICLR 2023PAC Reinforcement Learning for Predictive State Representations
622. ICLR 2023Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
623. ICLR 2023The Role of Coverage in Online Reinforcement Learning
624. ICML 2023Actor-Critic Alignment for Offline-to-Online Reinforcement Learning
625. ICML 2023Applied Online Algorithms with Heterogeneous Predictors
626. ICML 2023Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
627. ICML 2023Bayesian online change point detection with Hilbert space approximate Student-t process
628. ICML 2023Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
629. ICML 2023Doubly Optimal No-Regret Learning in Monotone Games
630. ICML 2023Efficient Online Reinforcement Learning with Offline Data
631. ICML 2023Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
632. ICML 2023Fast Federated Machine Unlearning with Nonlinear Functional Theory
633. ICML 2023Fast Online Node Labeling for Very Large Graphs
634. ICML 2023Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
635. ICML 2023Generalized Implicit Follow-The-Regularized-Leader
636. ICML 2023Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
637. ICML 2023Improved Online Conformal Prediction via Strongly Adaptive Online Learning
638. ICML 2023Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
639. ICML 2023Individually Fair Learning with One-Sided Feedback
640. ICML 2023Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
641. ICML 2023Learning Temporally AbstractWorld Models without Online Experimentation
642. ICML 2023Learning to Bid in Repeated First-Price Auctions with Budgets
643. ICML 2023Leveraging Demonstrations to Improve Online Learning: Quality Matters
644. ICML 2023Leveraging Offline Data in Online Reinforcement Learning
645. ICML 2023Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
646. ICML 2023Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints
647. ICML 2023Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
648. ICML 2023Mixing Predictions for Online Metric Algorithms
649. ICML 2023Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
650. ICML 2023Offline Meta Reinforcement Learning with In-Distribution Online Adaptation

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.