理论 · statistics论文趋势 2023–2026

主要结论

• 理论 · statistics论文从 2023 年的 16 篇增长到 2026 年的 57 篇，三年间扩大到约 3.6 倍。
• NeurIPS 是发理论 · statistics论文最多的会议，2023–2026 年共 58 篇，占四个会议总量的 42%。
• 交叉方向里涨得最快的是理论 · learning theory：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 28 篇。
• 在「理论与统计」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的理论 · learning theory是 5.6 倍，理论 · statistics是 3.6 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部理论 · statistics论文

共 23 篇，第 1 / 1 页

1. NeurIPS 2025A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
2. NeurIPS 2025Backward Conformal Prediction
3. NeurIPS 2025Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions
4. NeurIPS 2025Co-Regularization Enhances Knowledge Transfer in High Dimensions
5. NeurIPS 2025Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
6. NeurIPS 2025Demystifying Spectral Feature Learning for Instrumental Variable Regression
7. NeurIPS 2025Estimation of Stochastic Optimal Transport Maps
8. NeurIPS 2025Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
9. NeurIPS 2025Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
10. NeurIPS 2025Integral Imprecise Probability Metrics
11. NeurIPS 2025Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
12. NeurIPS 2025On the Emergence of Linear Analogies in Word Embeddings
13. NeurIPS 2025Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
14. NeurIPS 2025Private Statistical Estimation via Truncation
15. NeurIPS 2025Product Distribution Learning with Imperfect Advice
16. NeurIPS 2025Robust Estimation Under Heterogeneous Corruption Rates
17. NeurIPS 2025Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
18. NeurIPS 2025STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
19. NeurIPS 2025Statistical Inference for Gradient Boosting Regression
20. NeurIPS 2025Statistical Inference under Performativity
21. NeurIPS 2025Stochastic Gradients under Nuisances
22. NeurIPS 2025The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
23. NeurIPS 2025Tight Asymptotics of Extreme Order Statistics

常见问题

2023–2026 年四大会议一共有多少篇理论 · statistics论文？

共 138 篇，按年份分别是 2023 年 16 篇、2024 年 21 篇、2025 年 44 篇、2026 年 57 篇。

NeurIPS 2026 有多少篇理论 · statistics论文？

NeurIPS 2026 有 12 篇理论 · statistics论文，上一届是 23 篇。

ICLR 2026 有多少篇理论 · statistics论文？

ICLR 2026 有 15 篇理论 · statistics论文，上一届是 7 篇。

ICML 2026 有多少篇理论 · statistics论文？

ICML 2026 有 30 篇理论 · statistics论文，上一届是 13 篇。

CVPR 2025 有多少篇理论 · statistics论文？

CVPR 2025 有 1 篇理论 · statistics论文。

哪个会议的理论 · statistics论文最多？

NeurIPS，2023–2026 年共 58 篇。