Statistics

Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit COLT 2020 Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis AISTATS 2020 High-dimensional quantile tensor regression JMLR 2020 Kernel Conditional Moment Test via Maximum Moment Restriction UAI 2020 Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs JMLR 2020 Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020 Non-asymptotic Analysis for Nonparametric Testing COLT 2020 Optimality, Accuracy, and Efficiency of an Exact Functional Test IJCAI 2020 Optimal Statistical Hypothesis Testing for Social Choice UAI 2020 Prediction regions through Inverse Regression JMLR 2020 Rank-based Lasso - efficient methods for high-dimensional robust model selection JMLR 2020 Script Induction as Association Rule Mining ACL 2020 Testing Goodness of Fit of Conditional Density Models with Kernels UAI 2020 Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019 A maximum-mean-discrepancy goodness-of-fit test for censored data AISTATS 2019 An asymptotic analysis of distributed nonparametric methods JMLR 2019 An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search JMLR 2019 Approximate Profile Maximum Likelihood JMLR 2019 Exemplar Based Mixture Models with Censored Data ACML 2019 Generalized Score Matching for Non-Negative Data JMLR 2019 Learning Unfaithful K-separable Gaussian Graphical Models JMLR 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation IJCAI 2019 MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019 Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NeurIPS 2019