confidence interval

Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection NeurIPS 2021 Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021 Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021 Confidence in causal discovery with linear causal models UAI 2021 Confidence Intervals for ASR-Based TTS Evaluation Interspeech 2021 Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021 Deeply-Debiased Off-Policy Interval Estimation ICML 2021 Distribution-free inference for regression: discrete, continuous, and in between NeurIPS 2021 Double/Debiased Machine Learning for Dynamic Treatment Effects NeurIPS 2021 Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021 Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap COLT 2021 Inference for the Case Probability in High-dimensional Logistic Regression JMLR 2021 Inference of causal effects when control variables are unknown UAI 2021 Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals JMLR 2021 Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance MLHC 2021 Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds ICLR 2021 Optimal Order Simple Regret for Gaussian Process Bandits NeurIPS 2021 PAC Confidence Predictions for Deep Neural Network Classifiers ICLR 2021 Post-Contextual-Bandit Inference NeurIPS 2021 Statistical inference for individual fairness ICLR 2021 Towards More Fine-grained and Reliable NLP Performance Prediction EACL 2021 Towards Practical Mean Bounds for Small Samples ICML 2021 T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP ICML 2021 Uncertainty-Aware Machine Translation Evaluation EMNLP 2021 Accountable Off-Policy Evaluation With Kernel Bellman Statistics ICML 2020