Statistics

Locally Private Gaussian Estimation NeurIPS 2019 Locally Private Mean Estimation: Z-test and Tight Confidence Intervals AISTATS 2019 Mallows ranking models: maximum likelihood estimate and regeneration ICML 2019 Maximum Likelihood Estimation for Learning Populations of Parameters ICML 2019 MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019 Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NeurIPS 2019 Modelling Stopping Criteria for Search Results using Poisson Processes EMNLP 2019 MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means ICML 2019 Multiplicative local linear hazard estimation and best one-sided cross-validation JMLR 2019 Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates ICML 2019 Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks IJCAI 2019 Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NeurIPS 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams JMLR 2019 Nonuniformity of P-values Can Occur Early in Diverging Dimensions JMLR 2019 On Mean Estimation for General Norms with Statistical Queries COLT 2019 On the Idiosyncrasies of the Mandarin Chinese Classifier System NAACL 2019 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NeurIPS 2019 Partially Linear Additive Gaussian Graphical Models ICML 2019 Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019 Phase Transition Behavior of Cardinality and XOR Constraints IJCAI 2019 Power analysis of knockoff filters for correlated designs NeurIPS 2019 Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019 Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees NeurIPS 2019 Priming vs. Inhibition of Optional Infinitival “to” NAACL 2019