Statistics

A Preliminary Study of Charismatic Speech on YouTube: Correlating Prosodic Variation with Counts of Subscribers, Views and Likes Interspeech 2019 Causal Inference Under Interference And Network Uncertainty UAI 2019 Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019 Comparing distributions: ℓ_1 geometry improves kernel two-sample testing NeurIPS 2019 Conformalized Quantile Regression NeurIPS 2019 Copula Multi-label Learning NeurIPS 2019 Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NeurIPS 2019 Exclusivity Graph Approach to Instrumental Inequalities UAI 2019 Exemplar Based Mixture Models with Censored Data ACML 2019 First order expansion of convex regularized estimators NeurIPS 2019 Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019 Guaranteed Scalable Learning of Latent Tree Models UAI 2019 How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? AAAI 2019 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 Learning Distributions Generated by One-Layer ReLU Networks NeurIPS 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019 Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NeurIPS 2019 Minimum Stein Discrepancy Estimators NeurIPS 2019 Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward AAAI 2019 Power analysis of knockoff filters for correlated designs NeurIPS 2019 Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection NeurIPS 2019 The Broad Optimality of Profile Maximum Likelihood NeurIPS 2019 The Impact of Regularization on High-dimensional Logistic Regression NeurIPS 2019 Three-quarter Sibling Regression for Denoising Observational Data IJCAI 2019