引用次数
引用: 1,806
H-指数: 15
I10-指数 : 17
出版物: 23
ZhuSuan: A Library for Bayesian Deep Learning.
Jun Zhu , Jianfei Chen , Shengyang Sun , Jiaxin Shi
arXiv: Machine Learning
43
2017
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS
Roger B. Grosse , Shengyang Sun , Jiaxin Shi , Guodong Zhang
international conference on learning representations
208
2019
Scalable Training of Inference Networks for Gaussian-Process Models
Mohammad Emtiyaz Khan , Jun Zhu , Jiaxin Shi
arXiv: Machine Learning
3
2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Stefano Ermon , Yang Song , Jiaxin Shi , Sahaj Garg
arXiv: Learning
133
2019
Kernel Implicit Variational Inference
Jun Zhu , Shengyang Sun , Jiaxin Shi
international conference on learning representations
54
2018
Message Passing Stein Variational Gradient Descent.
Ning Chen , Jingwei Zhuo , Jun Zhu , Bo Zhang
international conference on machine learning 6013 -6022
60
2018
Semi-crowdsourced Clustering with Deep Generative Models
Jun Zhu , Bo Zhang , Tian Tian , Jiaxin Shi
neural information processing systems 31 3212 -3222
17
2018
Sparse Orthogonal Variational Inference for Gaussian Processes
Michalis K. Titsias , Andriy Mnih , Jiaxin Shi
arXiv: Machine Learning
39
2019
Nonparametric Score Estimators
Jun Zhu , Jiaxin Shi , Yuhao Zhou
arXiv: Machine Learning
1
2020
Neural Networks as Inter-Domain Inducing Points
Roger Baker Grosse , Shengyang Sun , Jiaxin Shi
Third Symposium on Advances in Approximate Bayesian Inference
1
2020
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu , Jiaxin Shi , Zhen Li , Chongxuan Li
IEEE Transactions on Visualization and Computer Graphics 23 ( 1) 91 -100
472
2017
Gradient estimation with discrete Stein operators
Jiaxin Shi , Yuhao Zhou , Jessica Hwang , Michalis Titsias
Advances in neural information processing systems 35 25829 -25841
4
2022
Neural eigenfunctions are structured representation learners
Zhijie Deng , Jiaxin Shi , Hao Zhang , Peng Cui
arXiv preprint arXiv:2210.12637
3
2022
A Spectral Approach to Gradient Estimation for Implicit Distributions
Jiaxin Shi , Shengyang Sun , Jun Zhu
ICML (arXiv preprint arXiv:1806.02925)
90
2018
NeuralEF: Deconstructing Kernels by Deep Neural Networks
Zhijie Deng , Jiaxin Shi , Jun Zhu
ICML (arXiv preprint arXiv:2205.00165)
15
2022
Double control variates for gradient estimation in discrete latent variable models
Michalis Titsias , Jiaxin Shi
International Conference on Artificial Intelligence and Statistics 6134 -6151
8
2022
Sequence modeling with multiresolution convolutional memory
Jiaxin Shi , Ke Alexander Wang , Emily Fox
International Conference on Machine Learning 31312 -31327
6
2023
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
Ke Alexander Wang , Matthew E Levine , Jiaxin Shi , Emily B Fox
arXiv preprint arXiv:2304.14300
2
2023
Scalable variational gaussian processes via harmonic kernel decomposition
Shengyang Sun , Jiaxin Shi , Andrew Gordon Wilson , Roger Grosse
arXiv preprint arXiv:2106.05992
5
2021
Sampling with Mirrored Stein Operators
Jiaxin Shi , Chang Liu , Lester Mackey
International Conference on Learning Representations
20
2022