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

138 papers, page 3 of 3

101. NeurIPS 2025Tight Asymptotics of Extreme Order Statistics
102. ICLR 2024A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
103. ICLR 2024Kernelised Normalising Flows
104. ICML 2024DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
105. ICML 2024Neural Networks Learn Statistics of Increasing Complexity
106. ICML 2024Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation
107. ICML 2024Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
108. ICML 2024What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis
109. NeurIPS 2024A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness
110. NeurIPS 2024Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
111. NeurIPS 2024Bayes-optimal learning of an extensive-width neural network from quadratically many samples
112. NeurIPS 2024Breaking the curse of dimensionality in structured density estimation
113. NeurIPS 2024Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
114. NeurIPS 2024FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
115. NeurIPS 2024Least Squares Regression Can Exhibit Under-Parameterized Double Descent
116. NeurIPS 2024On Differentially Private U Statistics
117. NeurIPS 2024On the Saturation Effects of Spectral Algorithms in Large Dimensions
118. NeurIPS 2024Optimal Hypothesis Selection in (Almost) Linear Time
119. NeurIPS 2024Robust Mixture Learning when Outliers Overwhelm Small Groups
120. NeurIPS 2024Scalable DBSCAN with Random Projections
121. NeurIPS 2024Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
122. NeurIPS 2024Statistical Multicriteria Benchmarking via the GSD-Front
123. ICLR 2023A Learning Based Hypothesis Test for Harmful Covariate Shift
124. ICLR 2023Don’t fear the unlabelled: safe semi-supervised learning via debiasing
125. ICLR 2023Optimizing Spca-based Continual Learning: A Theoretical Approach
126. ICLR 2023Parametrizing Product Shape Manifolds by Composite Networks
127. ICLR 2023Strong inductive biases provably prevent harmless interpolation
128. ICML 2023Fair Densities via Boosting the Sufficient Statistics of Exponential Families
129. ICML 2023Is Learning Summary Statistics Necessary for Likelihood-free Inference?
130. NeurIPS 2023Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
131. NeurIPS 2023Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions
132. NeurIPS 2023Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions
133. NeurIPS 2023On Computing Pairwise Statistics with Local Differential Privacy
134. NeurIPS 2023On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
135. NeurIPS 2023On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making
136. NeurIPS 2023Optimal testing using combined test statistics across independent studies
137. NeurIPS 2023Outlier-Robust Wasserstein DRO
138. NeurIPS 2023Replicable Reinforcement Learning

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.