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conftrace_

nonparametric statistics

39 papers

Papers

Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024 Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024 Quasi-Bayes meets Vines NeurIPS 2024 Random Forest Weighted Local Fréchet Regression with Random Objects JMLR 2024 Change point detection and inference in multivariate non-parametric models under mixing conditions NeurIPS 2023 Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning JMLR 2023 Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates UAI 2023 A Kernelised Stein Statistic for Assessing Implicit Generative Models NeurIPS 2022 Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NeurIPS 2022 Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence JMLR 2022 A Statistical Perspective on Coreset Density Estimation AISTATS 2021 A Statistical Taylor Theorem and Extrapolation of Truncated Densities COLT 2021 Optimal Rates for Nonparametric Density Estimation under Communication Constraints NeurIPS 2021 Estimation of Skill Distribution from a Tournament NeurIPS 2020 Kernel-estimated Nonparametric Overlap-Based Syncytial Clustering JMLR 2020 On a projective ensemble approach to two sample test for equality of distributions ICML 2020 Revealing Common Statistical Behaviors in Heterogeneous Populations ICML 2018 Convergence rates of a partition based Bayesian multivariate density estimation method NeurIPS 2017 Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NeurIPS 2017 Nonparanormal Information Estimation ICML 2017 On the Consistency of Quick Shift NeurIPS 2017 Density Estimation via Discrepancy Based Adaptive Sequential Partition NeurIPS 2016 Efficient Nonparametric Smoothness Estimation NeurIPS 2016 ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016 Measuring Dependence Powerfully and Equitably JMLR 2016