conftrace_

confidence interval

146 papers

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CI

Co-occurring keywords

statistical inference (146) uncertainty quantification (1393) hypothesis testing (254) asymptotic normality (66) off-policy evaluation (144) differential privacy (1016) reinforcement learning (4352) online learning (1777) high-dimensional regression (142) stochastic gradient descent (1091)

Papers

Confidence in causal discovery with linear causal models UAI 2021
Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap COLT 2021
Towards More Fine-grained and Reliable NLP Performance Prediction EACL 2021
Double/Debiased Machine Learning for Dynamic Treatment Effects NIPS 2021
Inference of causal effects when control variables are unknown UAI 2021
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance MLHC 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021
Distribution-free inference for regression: discrete, continuous, and in between NIPS 2021
Inference for the Case Probability in High-dimensional Logistic Regression JMLR 2021
Deeply-Debiased Off-Policy Interval Estimation ICML 2021
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals JMLR 2021
Towards Practical Mean Bounds for Small Samples ICML 2021
Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP ICML 2021
Optimal Order Simple Regret for Gaussian Process Bandits NIPS 2021
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis AISTATS 2020
Accountable Off-Policy Evaluation With Kernel Bellman Statistics ICML 2020
A Framework for Sample Efficient Interval Estimation with Control Variates AISTATS 2020
Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes JMLR 2020
Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching JMLR 2020
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning ICML 2020
Statistical Testing on ASR Performance via Blockwise Bootstrap INTERSPEECH 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds ACL 2020