Co-occurring keywords · papers mentioning both
Papers
Goodness-of-Fit Tests for Inhomogeneous Random Graphs
ICML 2020
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
ICML 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
ICML 2020
Testing Goodness of Fit of Conditional Density Models with Kernels
UAI 2020
A maximum-mean-discrepancy goodness-of-fit test for censored data
AISTATS 2019
A Stein–Papangelou Goodness-of-Fit Test for Point Processes
AISTATS 2019
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
AAAI 2019
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test
NeurIPS 2019
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy
ICML 2018
Goodness-of-Fit Tests for Random Partitions via Symmetric Polynomials
JMLR 2018
A Linear-Time Kernel Goodness-of-Fit Test
NeurIPS 2017
A Kernelized Stein Discrepancy for Goodness-of-fit Tests
ICML 2016
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
NeurIPS 2010
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models
NeurIPS 2009