confidence interval

A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning ICML 2020 A Framework for Sample Efficient Interval Estimation with Control Variates AISTATS 2020 Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model NeurIPS 2020 Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes JMLR 2020 CoinDICE: Off-Policy Confidence Interval Estimation NeurIPS 2020 Cross-validation Confidence Intervals for Test Error NeurIPS 2020 Differentially Private Survival Function Estimation MLHC 2020 Distribution-free binary classification: prediction sets, confidence intervals and calibration NeurIPS 2020 Efficient nonparametric statistical inference on population feature importance using Shapley values ICML 2020 Empirical Likelihood for Contextual Bandits NeurIPS 2020 Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis AISTATS 2020 Imputation estimators for unnormalized models with missing data AISTATS 2020 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020 Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds ACL 2020 Learning to Crawl AAAI 2020 Online Control of the False Coverage Rate and False Sign Rate ICML 2020 Robust causal inference under covariate shift via worst-case subpopulation treatment effects COLT 2020 Showing Your Work Doesn’t Always Work ACL 2020 Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching JMLR 2020 Statistical Testing on ASR Performance via Blockwise Bootstrap Interspeech 2020 Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality ICML 2020 X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks ACML 2019 A Calibration Metric for Risk Scores with Survival Data MLHC 2019 Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NeurIPS 2019 Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019