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1602.03253
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A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation
10 February 2016
Qiang Liu
J. Lee
Michael I. Jordan
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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
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High-dimensional Varying Index Coefficient Models via Stein's Identity
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Zhuoran Yang
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Mladen Kolar
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0
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A Riemann-Stein Kernel Method
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Christine J. Oates
Emilio Porcu
Mark Girolami
18
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Stein Neural Sampler
Tianyang Hu
Zixiang Chen
Hanxi Sun
Jincheng Bai
Mao Ye
Guang Cheng
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0
08 Oct 2018
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Motonobu Kanagawa
Philipp Hennig
Dino Sejdinovic
Bharath K. Sriperumbudur
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335
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06 Jul 2018
Random Feature Stein Discrepancies
Jonathan H. Huggins
Lester W. Mackey
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0
20 Jun 2018
Adaptive MCMC via Combining Local Samplers
K. Shaloudegi
András Gyorgy
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11 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions
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Shengyang Sun
Jun Zhu
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90
0
07 Jun 2018
Stein Variational Gradient Descent Without Gradient
J. Han
Qiang Liu
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45
0
07 Jun 2018
Sobolev Descent
Youssef Mroueh
Tom Sercu
Anant Raj
OT
21
1
0
30 May 2018
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
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
Adrien Saumard
21
20
0
11 Apr 2018
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
M. A. Masood
Finale Doshi-Velez
12
11
0
16 Mar 2018
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
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Biao Chen
Pengfei Yang
Zhitang Chen
20
3
0
21 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification
Yinhao Zhu
N. Zabaras
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27
637
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21 Jan 2018
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
Dilin Wang
Zhe Zeng
Qiang Liu
29
3
0
20 Nov 2017
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
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
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
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
Krishnakumar Balasubramanian
Tong Li
M. Yuan
18
28
0
24 Sep 2017
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
Yihao Feng
Dilin Wang
Qiang Liu
GAN
BDL
21
79
0
20 Jul 2017
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
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
Wittawat Jitkrittum
Wenkai Xu
Z. Szabó
Kenji Fukumizu
A. Gretton
27
102
0
22 May 2017
Gradient Estimators for Implicit Models
Yingzhen Li
Richard Turner
33
104
0
19 May 2017
Stein Variational Gradient Descent as Gradient Flow
Qiang Liu
OT
28
270
0
25 Apr 2017
Stein Variational Adaptive Importance Sampling
J. Han
Qiang Liu
8
28
0
18 Apr 2017
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
Huiming Zhang
Kai Tan
Bo Li
11
12
0
15 Apr 2017
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
Approximate Inference with Amortised MCMC
Yingzhen Li
Richard Turner
Qiang Liu
BDL
12
61
0
27 Feb 2017
Two Methods For Wild Variational Inference
Qiang Liu
Yihao Feng
BDL
21
19
0
30 Nov 2016
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
Dilin Wang
Qiang Liu
GAN
BDL
35
118
0
06 Nov 2016
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
Qiang Liu
Dilin Wang
BDL
19
1,067
0
16 Aug 2016
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
Chris J. Oates
Jon Cockayne
F. Briol
Mark Girolami
19
57
0
10 Mar 2016
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
Jackson Gorham
Lester W. Mackey
33
223
0
09 Jun 2015
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