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
427 papers, page 4 of 9
- 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
- NeurIPS 2024A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
- NeurIPS 2024A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
- NeurIPS 2024A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds
- NeurIPS 2024A Simple and Optimal Approach for Universal Online Learning with Gradient Variations
- NeurIPS 2024A Theory of Optimistically Universal Online Learnability for General Concept Classes
- NeurIPS 2024A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
- NeurIPS 2024Accelerated Regularized Learning in Finite N-Person Games
- NeurIPS 2024Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process
- NeurIPS 2024Adaptive Experimentation When You Can't Experiment
- NeurIPS 2024Adaptive Passive-Aggressive Framework for Online Regression with Side Information
- NeurIPS 2024Adaptive Sampling for Efficient Softmax Approximation
- NeurIPS 2024Addressing Bias in Online Selection with Limited Budget of Comparisons
- NeurIPS 2024Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
- NeurIPS 2024Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
- NeurIPS 2024An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
- NeurIPS 2024An engine not a camera: Measuring performative power of online search
- NeurIPS 2024An Equivalence Between Static and Dynamic Regret Minimization
- NeurIPS 2024Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
- NeurIPS 2024Bandits with Abstention under Expert Advice
- NeurIPS 2024Bandits with Preference Feedback: A Stackelberg Game Perspective
- NeurIPS 2024Bandits with Ranking Feedback
- NeurIPS 2024Barely Random Algorithms and Collective Metrical Task Systems
- NeurIPS 2024Bayesian Online Natural Gradient (BONG)
- NeurIPS 2024Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints
- NeurIPS 2024Beyond task diversity: provable representation transfer for sequential multitask linear bandits
- NeurIPS 2024Can large language models explore in-context?
- NeurIPS 2024Communication Bounds for the Distributed Experts Problem
- NeurIPS 2024Contextual Active Model Selection
- NeurIPS 2024Contextual Decision-Making with Knapsacks Beyond the Worst Case
- NeurIPS 2024Contextual Multinomial Logit Bandits with General Value Functions
- NeurIPS 2024Continual Learning with Global Alignment
- NeurIPS 2024Continual learning with the neural tangent ensemble
- NeurIPS 2024CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
- NeurIPS 2024Convergence of No-Swap-Regret Dynamics in Self-Play
- NeurIPS 2024Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
- NeurIPS 2024Dealing with Synthetic Data Contamination in Online Continual Learning
- NeurIPS 2024Disentangling and mitigating the impact of task similarity for continual learning
- NeurIPS 2024Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
- NeurIPS 2024Dueling over Dessert, Mastering the Art of Repeated Cake Cutting
- NeurIPS 2024Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
- NeurIPS 2024Efficient Prompt Optimization Through the Lens of Best Arm Identification
- NeurIPS 2024Enhancing Preference-based Linear Bandits via Human Response Time
- NeurIPS 2024Ensemble sampling for linear bandits: small ensembles suffice
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Theory · online learning papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "theory-online-learning"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.