Theory · statistics papers, 2023–2026

Key findings

• Theory · statistics went from 16 papers in 2023 to 57 in 2026, roughly 3.6x in three years.
• NeurIPS publishes the most Theory · statistics work: 58 papers from 2023 to 2026, 42% of the four-venue total.
• The fastest-growing overlap is with Theory · learning theory: papers tagged with both rose from 1 in 2023 to 28 in 2026.
• Among the 5 topics under Theory and Statistics, it ranks #5 by 2026 paper count; the fastest grower in the group, Theory · learning theory, is up 5.6x versus 3.6x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Asymptotic Anytime-Valid Inference for U-statistics
• ICML 2026A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning
• ICLR 2026The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics
• NeurIPS 2025A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
• ICML 2025Contextual Bandits for Unbounded Context Distributions
• ICLR 2025Improving Pretraining Data Using Perplexity Correlations
• CVPR 2025Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics
• NeurIPS 2024FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
• ICML 2024Neural Networks Learn Statistics of Increasing Complexity
• ICLR 2024Kernelised Normalising Flows
• NeurIPS 2023Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
• ICML 2023Fair Densities via Boosting the Sufficient Statistics of Exponential Families
• ICLR 2023Don’t fear the unlabelled: safe semi-supervised learning via debiasing
• NeurIPS 2026Computationally sufficient statistics for Ising models
• ICML 2026Adaptive Multiscale Binary Expansion Tests for Independence
• ICLR 2026Bayesian Influence Functions for Hessian-Free Data Attribution
• NeurIPS 2025Backward Conformal Prediction
• ICML 2025Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel
• ICLR 2025From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
• NeurIPS 2024Statistical Multicriteria Benchmarking via the GSD-Front

All Theory · statistics papers

44 papers, page 1 of 1

1. CVPR 2025Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics
2. ICLR 2025Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
3. ICLR 2025Decomposition Polyhedra of Piecewise Linear Functions
4. ICLR 2025From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
5. ICLR 2025Improving Pretraining Data Using Perplexity Correlations
6. ICLR 2025Oracle efficient truncated statistics
7. ICLR 2025The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures
8. ICLR 2025When does compositional structure yield compositional generalization? A kernel theory.
9. ICML 2025Batch List-Decodable Linear Regression via Higher Moments
10. ICML 2025Catoni Contextual Bandits are Robust to Heavy-tailed Rewards
11. ICML 2025Conformal Tail Risk Control for Large Language Model Alignment
12. ICML 2025Contextual Bandits for Unbounded Context Distributions
13. ICML 2025Dimension-Independent Rates for Structured Neural Density Estimation
14. ICML 2025Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
15. ICML 2025Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel
16. ICML 2025From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
17. ICML 2025On Learning Parallel Pancakes with Mostly Uniform Weights
18. ICML 2025Position: Rethinking Explainable Machine Learning as Applied Statistics
19. ICML 2025QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
20. ICML 2025Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
21. ICML 2025The Underlying Universal Statistical Structure of Natural Datasets
22. NeurIPS 2025A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
23. NeurIPS 2025Backward Conformal Prediction
24. NeurIPS 2025Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
25. NeurIPS 2025Co-Regularization Enhances Knowledge Transfer in High Dimensions
26. NeurIPS 2025Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
27. NeurIPS 2025Demystifying Spectral Feature Learning for Instrumental Variable Regression
28. NeurIPS 2025Estimation of Stochastic Optimal Transport Maps
29. NeurIPS 2025Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
30. NeurIPS 2025Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
31. NeurIPS 2025Integral Imprecise Probability Metrics
32. NeurIPS 2025Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
33. NeurIPS 2025On the Emergence of Linear Analogies in Word Embeddings
34. NeurIPS 2025Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
35. NeurIPS 2025Private Statistical Estimation via Truncation
36. NeurIPS 2025Product Distribution Learning with Imperfect Advice
37. NeurIPS 2025Robust Estimation Under Heterogeneous Corruption Rates
38. NeurIPS 2025Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
39. NeurIPS 2025STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
40. NeurIPS 2025Statistical Inference for Gradient Boosting Regression
41. NeurIPS 2025Statistical Inference under Performativity
42. NeurIPS 2025Stochastic Gradients under Nuisances
43. NeurIPS 2025The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
44. NeurIPS 2025Tight Asymptotics of Extreme Order Statistics

FAQ

How many Theory · statistics papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

138 in total: 16 in 2023, 21 in 2024, 44 in 2025, 57 in 2026.

How many Theory · statistics papers are at NeurIPS 2026?

NeurIPS 2026 has 12 Theory · statistics papers, versus 23 the year before.

How many Theory · statistics papers are at ICLR 2026?

ICLR 2026 has 15 Theory · statistics papers, versus 7 the year before.

How many Theory · statistics papers are at ICML 2026?

ICML 2026 has 30 Theory · statistics papers, versus 13 the year before.

How many Theory · statistics papers are at CVPR 2025?

CVPR 2025 has 1 Theory · statistics papers.

Which conference publishes the most Theory · statistics papers?

NeurIPS, with 58 papers from 2023 to 2026.