Theory · statistics papers, 2023–2026
Theory area: statistics
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 138 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 9 | 5 | 2 | 0 | 16 |
| 2024 | 14 | 2 | 5 | 0 | 21 |
| 2025 | 23 | 7 | 13 | 1 | 44 |
| 2026 | 12 | 15 | 30 | 0 | 57 |
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
23 papers, page 1 of 1
- NeurIPS 2025A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
- NeurIPS 2025Backward Conformal Prediction
- NeurIPS 2025Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
- NeurIPS 2025Co-Regularization Enhances Knowledge Transfer in High Dimensions
- NeurIPS 2025Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
- NeurIPS 2025Demystifying Spectral Feature Learning for Instrumental Variable Regression
- NeurIPS 2025Estimation of Stochastic Optimal Transport Maps
- NeurIPS 2025Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
- NeurIPS 2025Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
- NeurIPS 2025Integral Imprecise Probability Metrics
- NeurIPS 2025Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
- NeurIPS 2025On the Emergence of Linear Analogies in Word Embeddings
- NeurIPS 2025Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
- NeurIPS 2025Private Statistical Estimation via Truncation
- NeurIPS 2025Product Distribution Learning with Imperfect Advice
- NeurIPS 2025Robust Estimation Under Heterogeneous Corruption Rates
- NeurIPS 2025Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
- NeurIPS 2025STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
- NeurIPS 2025Statistical Inference for Gradient Boosting Regression
- NeurIPS 2025Statistical Inference under Performativity
- NeurIPS 2025Stochastic Gradients under Nuisances
- NeurIPS 2025The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
- NeurIPS 2025Tight Asymptotics of Extreme Order Statistics
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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.