Statistics
822 papers
Papers per year
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4
11
7
15
12
18
34
35
24
17
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29
39
30
54
68
93
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122
65
30
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Papers
Partition Function Estimation under Bounded f-Divergence
COLT 2026
Privately Estimating Black-Box Statistics
COLT 2026
Recursive Fréchet Mean Estimation
UAI 2026
Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
CLeaR 2026
Transfer Learning via Regularized Random-effects Linear Discriminant Analysis
JMLR 2026
Advocating Character Error Rate for Multilingual ASR Evaluation
NAACL 2025
Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference
AISTATS 2025
Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions
EMNLP 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction
EMNLP 2025
An Axiomatic Definition of Hierarchical Clustering
JMLR 2025
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations
CVPR 2025
Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection
ACL 2025
Approximating the Total Variation Distance between Gaussians
AISTATS 2025
Are You Doing Better Than Random Guessing? A Call for Using Negative Controls When Evaluating Causal Discovery Algorithms
UAI 2025
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods
AAAI 2025
Best-Arm Identification in Unimodal Bandits
AISTATS 2025
Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation
IJCNLP 2025
Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem
AISTATS 2025
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
AISTATS 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
JMLR 2025
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
NAACL 2025
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
UAI 2025
Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength
AISTATS 2025
Composite Goodness-of-fit Tests with Kernels
JMLR 2025
Conditional Testing based on Localized Conformal p-values
ICLR 2025