General ML · online learning papers, 2023–2026

Key findings

• General ML · online learning fell from 107 papers in 2023 to 105 in 2026, so interest is cooling.
• NeurIPS publishes the most General ML · online learning work: 199 papers from 2023 to 2026, 48% of the four-venue total.
• The fastest-growing overlap is with Theory · optimization: papers tagged with both rose from 0 in 2023 to 6 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #6 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.0x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\delta$-Mem: : Efficient Online Memory For Large Language Models
• ICML 2026Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
• ICLR 2026Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
• CVPR 2026Dynamic Momentum Recalibration in Online Gradient Learning
• NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
• ICML 2025A Online Statistical Framework for Out-of-Distribution Detection
• ICLR 2025Event-Driven Online Vertical Federated Learning
• CVPR 2025InteractionMap: Improving Online Vectorized HDMap Construction with Interaction
• NeurIPS 2024A Theory of Optimistically Universal Online Learnability for General Concept Classes
• ICML 2024A General Online Algorithm for Optimizing Complex Performance Metrics
• ICLR 2024Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
• CVPR 2024Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning
• NeurIPS 2023A Batch-to-Online Transformation under Random-Order Model
• ICML 2023Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
• ICLR 2023Online Bias Correction for Task-Free Continual Learning
• CVPR 2023VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos
• NeurIPS 2026A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming
• ICML 2026CARE: Adaptive Calibration for Reliable Recommendations
• ICLR 2026Semi-Parametric Contextual Pricing with General Smoothness
• CVPR 2026Online3R Online Learning for Consistent Sequential Reconstruction Based on Geometry

All General ML · online learning papers

59 papers, page 1 of 2

1. NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
2. NeurIPS 2025A Learning-Augmented Approach to Online Allocation Problems
3. NeurIPS 2025Agnostic Continuous-Time Online Learning
4. NeurIPS 2025Asymptotic theory of SGD with a general learning-rate
5. NeurIPS 2025Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
6. NeurIPS 2025Computable universal online learning
7. NeurIPS 2025Conformal Online Learning of Deep Koopman Linear Embeddings
8. NeurIPS 2025Contextual Online Pricing with (Biased) Offline Data
9. NeurIPS 2025DAA: Amplifying Unknown Discrepancy for Test-Time Discovery
10. NeurIPS 2025Distribution Learning Meets Graph Structure Sampling
11. NeurIPS 2025Dynamic Regret Reduces to Kernelized Static Regret
12. NeurIPS 2025Exploring the Noise Robustness of Online Conformal Prediction
13. NeurIPS 2025Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
14. NeurIPS 2025Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
15. NeurIPS 2025Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits
16. NeurIPS 2025Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
17. NeurIPS 2025KAIROS: Scalable Model-Agnostic Data Valuation
18. NeurIPS 2025Learning to price with resource constraints: from full information to machine-learned prices
19. NeurIPS 2025Learning-Augmented Algorithms for $k$-median via Online Learning
20. NeurIPS 2025Learning-Augmented Online Bidding in Stochastic Settings
21. NeurIPS 2025Learning-Augmented Online Bipartite Fractional Matching
22. NeurIPS 2025Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
23. NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
24. NeurIPS 2025Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
25. NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
26. NeurIPS 2025No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
27. NeurIPS 2025No-Regret Online Autobidding Algorithms in First-price Auctions
28. NeurIPS 2025Non-Clairvoyant Scheduling with Progress Bars
29. NeurIPS 2025On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
30. NeurIPS 2025On the Universal Near Optimality of Hedge in Combinatorial Settings
31. NeurIPS 2025Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time
32. NeurIPS 2025Online Feedback Efficient Active Target Discovery in Partially Observable Environments
33. NeurIPS 2025Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion
34. NeurIPS 2025Online Learning in the Repeated Mediated Newsvendor Problem
35. NeurIPS 2025Online Learning of Neural Networks
36. NeurIPS 2025Online Learning of Pure States is as Hard as Mixed States
37. NeurIPS 2025Online Locally Differentially Private Conformal Prediction via Binary Inquiries
38. NeurIPS 2025Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
39. NeurIPS 2025Online Portfolio Selection with ML Predictions
40. NeurIPS 2025Online Prediction with Limited Selectivity
41. NeurIPS 2025Online robust locally differentially private learning for nonparametric regression
42. NeurIPS 2025Online Time Series Forecasting with Theoretical Guarantees
43. NeurIPS 2025Online Two-Stage Submodular Maximization
44. NeurIPS 2025Optimal Mistake Bounds for Transductive Online Learning
45. NeurIPS 2025Optimal Online Change Detection via Random Fourier Features
46. NeurIPS 2025Precise Asymptotics and Refined Regret of Variance-Aware UCB
47. NeurIPS 2025Prediction-Powered Semi-Supervised Learning with Online Power Tuning
48. NeurIPS 2025Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
49. NeurIPS 2025Replicable Online Learning
50. NeurIPS 2025Replicable Online pricing

FAQ

How many General ML · online learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

416 in total: 107 in 2023, 96 in 2024, 108 in 2025, 105 in 2026.

How many General ML · online learning papers are at NeurIPS 2026?

NeurIPS 2026 has 34 General ML · online learning papers, versus 59 the year before.

How many General ML · online learning papers are at ICLR 2026?

ICLR 2026 has 13 General ML · online learning papers, versus 9 the year before.

How many General ML · online learning papers are at ICML 2026?

ICML 2026 has 49 General ML · online learning papers, versus 37 the year before.

How many General ML · online learning papers are at CVPR 2026?

CVPR 2026 has 9 General ML · online learning papers, versus 3 the year before.

Which conference publishes the most General ML · online learning papers?

NeurIPS, with 199 papers from 2023 to 2026.