Statistics

Formal Privacy for Functional Data with Gaussian Perturbations ICML 2019 Frication as a Vowel Feature? — Evidence from the Rui’an Wu Chinese Dialect Interspeech 2019 Generalized Score Matching for Non-Negative Data JMLR 2019 Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension ACML 2019 Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems AISTATS 2019 “ Gra[f] e!” Word-Final Devoicing of Obstruents in Standard French: An Acoustic Study Based on Large Corpora Interspeech 2019 High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference AISTATS 2019 High-dimensional Varying Index Coefficient Models via Stein's Identity JMLR 2019 How Hard is Robust Mean Estimation? COLT 2019 Inference under Information Constraints: Lower Bounds from Chi-Square Contraction COLT 2019 Inferring missing metadata from environmental policy texts NAACL 2019 Joint Nonparametric Precision Matrix Estimation with Confounding UAI 2019 Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NeurIPS 2019 Kernel Instrumental Variable Regression NeurIPS 2019 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019 Large-scale optimal transport map estimation using projection pursuit NeurIPS 2019 Latent distance estimation for random geometric graphs NeurIPS 2019 Laughter Dynamics in Dyadic Conversations Interspeech 2019 Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models JMLR 2019 Learning low-dimensional state embeddings and metastable clusters from time series data NeurIPS 2019 Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NeurIPS 2019 Learning rates for Gaussian mixtures under group action COLT 2019 Lexical concreteness in narrative ACL 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019