Co-occurring keywords · papers mentioning both
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