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Statistics

122 directly classified papers

Papers per year

Papers

Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020
Exemplar Based Mixture Models with Censored Data ACML 2019
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NIPS 2019
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates ICML 2019
Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis AAAI 2019
MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019
A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019
Concentration of risk measures: A Wasserstein distance approach NIPS 2019
Power analysis of knockoff filters for correlated designs NIPS 2019
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls NIPS 2019
Covariate-Powered Empirical Bayes Estimation NIPS 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NIPS 2019
Locally Private Gaussian Estimation NIPS 2019
Latent distance estimation for random geometric graphs NIPS 2019
Thinning for Accelerating the Learning of Point Processes NIPS 2019
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees NIPS 2019
A General Framework for Symmetric Property Estimation NIPS 2019
The Broad Optimality of Profile Maximum Likelihood NIPS 2019
Sequential change-point detection: Laplace concentration of scan statistics and non-asymptotic delay bounds ALT 2019
Taylor’s law for Human Linguistic Sequences ACL 2018
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NIPS 2018
Derivative Estimation in Random Design NIPS 2018
Practical Methods for Graph Two-Sample Testing NIPS 2018
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues NIPS 2017
Convergence rates of a partition based Bayesian multivariate density estimation method NIPS 2017