Co-occurring keywords · papers mentioning both
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