conftrace_

confidence interval

146 papers

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Also known as

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

Distribution-free binary classification: prediction sets, confidence intervals and calibration NIPS 2020
Empirical Likelihood for Contextual Bandits NIPS 2020
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model NIPS 2020
Cross-validation Confidence Intervals for Test Error NIPS 2020
Learning to Crawl AAAI 2020
Showing Your Work Doesn’t Always Work ACL 2020
CoinDICE: Off-Policy Confidence Interval Estimation NIPS 2020
Imputation estimators for unnormalized models with missing data AISTATS 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality ICML 2020
Online Control of the False Coverage Rate and False Sign Rate ICML 2020
Efficient nonparametric statistical inference on population feature importance using Shapley values ICML 2020
Differentially Private Survival Function Estimation MLHC 2020
Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT COLT 2019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NIPS 2019
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals AISTATS 2019
A Calibration Metric for Risk Scores with Survival Data MLHC 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation ICCV 2019
Approximate Ranking from Pairwise Comparisons AISTATS 2018
Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models JMLR 2018
Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator JMLR 2018
Uncertainty-aware generative models for inferring document class prevalence EMNLP 2018
Accurate Inference for Adaptive Linear Models ICML 2018
Differentially Private Ordinary Least Squares ICML 2017
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference ICML 2017