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statistical inference

146 papers

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Co-occurring keywords

confidence interval (145) hypothesis testing (254) asymptotic normality (66) false discovery rate (75) bayesian inference (1904) uncertainty quantification (1365) parameter estimation (274) selective inference (20) differential privacy (1010) feature selection (649)

Papers

PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation AAAI 2026
Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds JMLR 2025
Automated L2 Proficiency Scoring: Weak Supervision, Large Language Models, and Statistical Guarantees ACL 2025
Benchmarking Debiasing Methods for LLM-based Parameter Estimates EMNLP 2025
Assumption-lean and data-adaptive post-prediction inference JMLR 2025
On Inference for the Support Vector Machine JMLR 2025
Statistical inference on black-box generative models in the data kernel perspective space ACL 2025
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025
Best Linear Unbiased Estimate from Privatized Contingency Tables JMLR 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
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies JMLR 2025
Data Thinning for Convolution-Closed Distributions JMLR 2024
Semi-supervised Inference for Block-wise Missing Data without Imputation JMLR 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NIPS 2024
Approximate Information Tests on Statistical Submanifolds JMLR 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024
Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap JMLR 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees AAAI 2024
Neural Conditional Probability for Uncertainty Quantification NIPS 2024
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024
Statistical Inference for Fairness Auditing JMLR 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference AISTATS 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning EMNLP 2024