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conftrace_

confidence interval

185 papers

CI

Papers

PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking ACL 2024 Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss NeurIPS 2024 Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024 Statistical Properties of Robust Satisficing ICML 2024 Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models NeurIPS 2024 A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023 Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities Interspeech 2023 Bayesian Estimation of Differential Privacy ICML 2023 Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023 Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023 Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks NeurIPS 2023 Faithful Model Evaluation for Model-Based Metrics EMNLP 2023 Frequentist Uncertainty Quantification in Semi-Structured Neural Networks AISTATS 2023 HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023 Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023 JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023 Minimax-Optimal Location Estimation NeurIPS 2023 Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning NeurIPS 2023 Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023 Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023 Online Learning for Traffic Navigation in Congested Networks ALT 2023 Online Local Differential Private Quantile Inference via Self-normalization ICML 2023 PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification NeurIPS 2023 “Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023 Precision/Recall on Imbalanced Test Data AISTATS 2023