Statistics

Comparing distributions: ℓ_1 geometry improves kernel two-sample testing NeurIPS 2019 Concentration of risk measures: A Wasserstein distance approach NeurIPS 2019 Conditional Independence Testing using Generative Adversarial Networks NeurIPS 2019 Conformal Prediction Under Covariate Shift NeurIPS 2019 Correlation Coefficients and Semantic Textual Similarity NAACL 2019 Covariate-Powered Empirical Bayes Estimation NeurIPS 2019 Cross-sectional Learning of Extremal Dependence among Financial Assets NeurIPS 2019 Data-dependent compression of random features for large-scale kernel approximation AISTATS 2019 DBSCAN: Optimal Rates For Density-Based Cluster Estimation JMLR 2019 Determining the Number of Latent Factors in Statistical Multi-Relational Learning JMLR 2019 Differentially Private Anonymized Histograms NeurIPS 2019 Differentially Private Covariance Estimation NeurIPS 2019 Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach ALT 2019 Doubly-Competitive Distribution Estimation ICML 2019 Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NeurIPS 2019 Estimating Convergence of Markov chains with L-Lag Couplings NeurIPS 2019 Estimating the Mixing Time of Ergodic Markov Chains COLT 2019 Estimation of smooth densities in Wasserstein distance COLT 2019 Exemplar Based Mixture Models with Censored Data ACML 2019 Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models ICML 2019 Faster Algorithms for High-Dimensional Robust Covariance Estimation COLT 2019 Fast Mean Estimation with Sub-Gaussian Rates COLT 2019 Finding Statistically Significant Interactions between Continuous Features IJCAI 2019 First order expansion of convex regularized estimators NeurIPS 2019