confidence interval

Revisiting inference after prediction JMLR 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 Sharp Calibrated Gaussian Processes NeurIPS 2023 SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process ICML 2023 Statistical Inference and A/B Testing for First-Price Pacing Equilibria ICML 2023 The s-value: evaluating stability with respect to distributional shifts NeurIPS 2023 Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023 Active Exploration for Inverse Reinforcement Learning NeurIPS 2022 A Statistical Online Inference Approach in Averaged Stochastic Approximation NeurIPS 2022 Bellman Residual Orthogonalization for Offline Reinforcement Learning NeurIPS 2022 Conformal Frequency Estimation with Sketched Data NeurIPS 2022 Input-Specific Robustness Certification for Randomized Smoothing AAAI 2022 Offline Policy Selection under Uncertainty AISTATS 2022 Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory ICML 2022 Optimal Mean Estimation without a Variance COLT 2022 Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022 Power Iteration for Tensor PCA JMLR 2022 Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus NeurIPS 2022 Sample Selection with Uncertainty of Losses for Learning with Noisy Labels ICLR 2022 Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert ICML 2022 The Implicit Delta Method NeurIPS 2022 Tree-Values: Selective Inference for Regression Trees JMLR 2022 Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022 An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias NeurIPS 2021 Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ICML 2021