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

29 papers, page 1 of 1

1. ICLR 2026A Law of Data Reconstruction for Random Features (And Beyond)
2. ICLR 2026Bayesian Influence Functions for Hessian-Free Data Attribution
3. ICLR 2026Beyond Spectra: Eigenvector Overlaps in Loss Geometry
4. ICLR 2026CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement Learning
5. ICLR 2026Gradient Descent Dynamics of Rank-One Matrix Denoising
6. ICLR 2026High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification
7. ICLR 2026Improved high-dimensional estimation with Langevin dynamics and stochastic weight averaging
8. ICLR 2026Learning the Inverse Temperature of Ising Models under Hard Constraints using One Sample
9. ICLR 2026Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
10. ICLR 2026Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
11. ICLR 2026Predicting Kernel Regression Learning Curves from Only Raw Data Statistics
12. ICLR 2026Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
13. ICLR 2026Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
14. ICLR 2026Statistical Advantage of Softmax Attention: Insights from Single-Location Regression
15. ICLR 2026The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics
16. ICLR 2025Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
17. ICLR 2025Decomposition Polyhedra of Piecewise Linear Functions
18. ICLR 2025From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
19. ICLR 2025Improving Pretraining Data Using Perplexity Correlations
20. ICLR 2025Oracle efficient truncated statistics
21. ICLR 2025The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures
22. ICLR 2025When does compositional structure yield compositional generalization? A kernel theory.
23. ICLR 2024A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
24. ICLR 2024Kernelised Normalising Flows
25. ICLR 2023A Learning Based Hypothesis Test for Harmful Covariate Shift
26. ICLR 2023Don’t fear the unlabelled: safe semi-supervised learning via debiasing
27. ICLR 2023Optimizing Spca-based Continual Learning: A Theoretical Approach
28. ICLR 2023Parametrizing Product Shape Manifolds by Composite Networks
29. ICLR 2023Strong inductive biases provably prevent harmless interpolation

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.