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A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model
  Evaluation

A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation

10 February 2016
Qiang Liu
J. Lee
Michael I. Jordan
ArXivPDFHTML

Papers citing "A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation"

46 / 296 papers shown
Title
Stochastic Gradient MCMC for State Space Models
Stochastic Gradient MCMC for State Space Models
Christopher Aicher
Yian Ma
N. Foti
E. Fox
33
21
0
22 Oct 2018
High-dimensional Varying Index Coefficient Models via Stein's Identity
High-dimensional Varying Index Coefficient Models via Stein's Identity
Sen Na
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
21
21
0
16 Oct 2018
A Riemann-Stein Kernel Method
A Riemann-Stein Kernel Method
Alessandro Barp
Christine J. Oates
Emilio Porcu
Mark Girolami
18
22
0
11 Oct 2018
Stein Neural Sampler
Stein Neural Sampler
Tianyang Hu
Zixiang Chen
Hanxi Sun
Jincheng Bai
Mao Ye
Guang Cheng
SyDa
GAN
17
34
0
08 Oct 2018
Gaussian Processes and Kernel Methods: A Review on Connections and
  Equivalences
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Motonobu Kanagawa
Philipp Hennig
Dino Sejdinovic
Bharath K. Sriperumbudur
GP
BDL
11
335
0
06 Jul 2018
Random Feature Stein Discrepancies
Random Feature Stein Discrepancies
Jonathan H. Huggins
Lester W. Mackey
27
45
0
20 Jun 2018
Adaptive MCMC via Combining Local Samplers
Adaptive MCMC via Combining Local Samplers
K. Shaloudegi
András Gyorgy
24
1
0
11 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions
A Spectral Approach to Gradient Estimation for Implicit Distributions
Jiaxin Shi
Shengyang Sun
Jun Zhu
14
90
0
07 Jun 2018
Stein Variational Gradient Descent Without Gradient
Stein Variational Gradient Descent Without Gradient
J. Han
Qiang Liu
6
45
0
07 Jun 2018
Sobolev Descent
Sobolev Descent
Youssef Mroueh
Tom Sercu
Anant Raj
OT
21
1
0
30 May 2018
Bayesian posterior approximation via greedy particle optimization
Bayesian posterior approximation via greedy particle optimization
Futoshi Futami
Zhenghang Cui
Issei Sato
Masashi Sugiyama
23
22
0
21 May 2018
Fisher Efficient Inference of Intractable Models
Fisher Efficient Inference of Intractable Models
Song Liu
Takafumi Kanamori
Wittawat Jitkrittum
Yu Chen
29
14
0
18 May 2018
Weighted Poincaré inequalities, concentration inequalities and tail
  bounds related to the Stein kernels in dimension one
Weighted Poincaré inequalities, concentration inequalities and tail bounds related to the Stein kernels in dimension one
Adrien Saumard
21
20
0
11 Apr 2018
Stein Points
Stein Points
W. Chen
Lester W. Mackey
Jackson Gorham
François‐Xavier Briol
Chris J. Oates
13
101
0
27 Mar 2018
A particle-based variational approach to Bayesian Non-negative Matrix
  Factorization
A particle-based variational approach to Bayesian Non-negative Matrix Factorization
M. A. Masood
Finale Doshi-Velez
12
11
0
16 Mar 2018
Exponentially Consistent Kernel Two-Sample Tests
Exponentially Consistent Kernel Two-Sample Tests
Shengyu Zhu
Biao Chen
Zhitang Chen
13
1
0
23 Feb 2018
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests
  for Goodness of Fit
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit
Shengyu Zhu
Biao Chen
Pengfei Yang
Zhitang Chen
20
3
0
21 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate
  Modeling and Uncertainty Quantification
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification
Yinhao Zhu
N. Zabaras
UQCV
BDL
27
637
0
21 Jan 2018
Riemannian Stein Variational Gradient Descent for Bayesian Inference
Riemannian Stein Variational Gradient Descent for Bayesian Inference
Chang-rui Liu
Jun Zhu
11
67
0
30 Nov 2017
Stein Variational Message Passing for Continuous Graphical Models
Stein Variational Message Passing for Continuous Graphical Models
Dilin Wang
Zhe Zeng
Qiang Liu
32
3
0
20 Nov 2017
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
Sobolev GAN
Sobolev GAN
Youssef Mroueh
Chun-Liang Li
Tom Sercu
Anant Raj
Yu Cheng
8
117
0
14 Nov 2017
Message Passing Stein Variational Gradient Descent
Message Passing Stein Variational Gradient Descent
Jingwei Zhuo
Chang-rui Liu
Jiaxin Shi
Jun Zhu
Ning Chen
Bo Zhang
30
90
0
13 Nov 2017
Action-depedent Control Variates for Policy Optimization via Stein's
  Identity
Action-depedent Control Variates for Policy Optimization via Stein's Identity
Hao Liu
Yihao Feng
Yi Mao
Dengyong Zhou
Jian-wei Peng
Qiang Liu
16
4
0
30 Oct 2017
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests
Krishnakumar Balasubramanian
Tong Li
M. Yuan
18
28
0
24 Sep 2017
Characteristic and Universal Tensor Product Kernels
Characteristic and Universal Tensor Product Kernels
Z. Szabó
Bharath K. Sriperumbudur
33
71
0
28 Aug 2017
Learning to Draw Samples with Amortized Stein Variational Gradient
  Descent
Learning to Draw Samples with Amortized Stein Variational Gradient Descent
Yihao Feng
Dilin Wang
Qiang Liu
GAN
BDL
21
79
0
20 Jul 2017
Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE
Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE
Qiang Liu
Dilin Wang
16
21
0
04 Jul 2017
Adversarial Feature Matching for Text Generation
Adversarial Feature Matching for Text Generation
Yizhe Zhang
Zhe Gan
Kai Fan
Zhi Chen
Ricardo Henao
Dinghan Shen
Lawrence Carin
GAN
13
333
0
12 Jun 2017
A Linear-Time Kernel Goodness-of-Fit Test
A Linear-Time Kernel Goodness-of-Fit Test
Wittawat Jitkrittum
Wenkai Xu
Z. Szabó
Kenji Fukumizu
A. Gretton
27
102
0
22 May 2017
Gradient Estimators for Implicit Models
Gradient Estimators for Implicit Models
Yingzhen Li
Richard Turner
33
104
0
19 May 2017
Stein Variational Gradient Descent as Gradient Flow
Stein Variational Gradient Descent as Gradient Flow
Qiang Liu
OT
28
270
0
25 Apr 2017
Stein Variational Adaptive Importance Sampling
Stein Variational Adaptive Importance Sampling
J. Han
Qiang Liu
8
28
0
18 Apr 2017
VAE Learning via Stein Variational Gradient Descent
VAE Learning via Stein Variational Gradient Descent
Yunchen Pu
Zhe Gan
Ricardo Henao
Chunyuan Li
Shaobo Han
Lawrence Carin
DRL
18
6
0
18 Apr 2017
The COM-negative binomial distribution: modeling overdispersion and
  ultrahigh zero-inflated count data
The COM-negative binomial distribution: modeling overdispersion and ultrahigh zero-inflated count data
Huiming Zhang
Kai Tan
Bo Li
11
12
0
15 Apr 2017
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
Approximate Inference with Amortised MCMC
Approximate Inference with Amortised MCMC
Yingzhen Li
Richard Turner
Qiang Liu
BDL
12
61
0
27 Feb 2017
Two Methods For Wild Variational Inference
Two Methods For Wild Variational Inference
Qiang Liu
Yihao Feng
BDL
21
19
0
30 Nov 2016
Measuring Sample Quality with Diffusions
Measuring Sample Quality with Diffusions
Jackson Gorham
Andrew B. Duncan
Sandra Jeanne Vollmer
Lester W. Mackey
30
116
0
21 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for
  Generative Adversarial Learning
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
Dilin Wang
Qiang Liu
GAN
BDL
38
118
0
06 Nov 2016
Black-box Importance Sampling
Black-box Importance Sampling
Qiang Liu
J. Lee
FAtt
17
73
0
17 Oct 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference
  Algorithm
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
19
1,067
0
16 Aug 2016
Uncertain programming model for multi-item solid transportation problem
Uncertain programming model for multi-item solid transportation problem
Hasan Dalman
16
722
0
31 May 2016
Convergence Rates for a Class of Estimators Based on Stein's Method
Convergence Rates for a Class of Estimators Based on Stein's Method
Chris J. Oates
Jon Cockayne
F. Briol
Mark Girolami
19
57
0
10 Mar 2016
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
107
324
0
09 Feb 2016
Measuring Sample Quality with Stein's Method
Measuring Sample Quality with Stein's Method
Jackson Gorham
Lester W. Mackey
33
223
0
09 Jun 2015
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