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confidence interval

185 papers

CI

Papers

Estimating the Mixing Time of Ergodic Markov Chains COLT 2019 Locally Private Mean Estimation: Z-test and Tight Confidence Intervals AISTATS 2019 MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation ICCV 2019 Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT COLT 2019 Accurate Inference for Adaptive Linear Models ICML 2018 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 Differentially Private Ordinary Least Squares ICML 2017 Regression Uncertainty on the Grassmannian AISTATS 2017 Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method ICML 2017 Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference ICML 2017 Inference for High-dimensional Exponential Family Graphical Models AISTATS 2016 Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests JMLR 2016 Selective inference for group-sparse linear models NeurIPS 2016 Statistical Inference for Pairwise Graphical Models Using Score Matching NeurIPS 2016 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NeurIPS 2016 Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity NeurIPS 2016 Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees ICML 2015 Evaluating the statistical significance of biclusters NeurIPS 2015 Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NeurIPS 2015 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014 Confidence Intervals and Hypothesis Testing for High-Dimensional Regression JMLR 2014 Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife JMLR 2014