papers
Publications (16)
stat.ML2017
Boosting Variational Inference
Fangjian Guo, Xiangyu Wang, Kai Fan +2
cs.CV2017
InverseNet: Solving Inverse Problems with Splitting Networks
Kai Fan, Qi Wei, Wenlin Wang +2
cs.CL2018
"Bilingual Expert" Can Find Translation Errors
Kai Fan, Jiayi Wang, Bo Li +3
stat.ML2017
Fast Second-Order Stochastic Backpropagation for Variational Inference
Kai Fan, Ziteng Wang, Jeff Beck +2
stat.ML2015
$k$-means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking
Kai Fan, Katherine Heller
stat.AP2014
A Novel Non-Parametric Approach to Compare Paired General Statistical Distributions between Two Interventions
Kang Li, Kai Fan
stat.ML2017
Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs
Kai Fan
cs.LG2017
Zero-Shot Learning via Class-Conditioned Deep Generative Models
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma +5
stat.ML2015
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models
Chunyuan Li, Changyou Chen, Kai Fan +1
cs.CV2017
An inner-loop free solution to inverse problems using deep neural networks
Qi Wei, Kai Fan, Lawrence Carin +1
cs.CL2018
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector
Shanchan Wu, Kai Fan, Qiong Zhang
cs.CL2019
Lattice Transformer for Speech Translation
Pei Zhang, Boxing Chen, Niyu Ge +1
stat.ML2017
Adversarial Feature Matching for Text Generation
Yizhe Zhang, Zhe Gan, Kai Fan +4
stat.ML2018
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Yizhe Zhang, Xiangyu Wang, Changyou Chen +3
stat.AP2015
Bayesian Models for Heterogeneous Personalized Health Data
Kai Fan, Allison E. Aiello, Katherine A. Heller
cs.CV2019
Unsupervised Multi-modal Neural Machine Translation
Yuanhang Su, Kai Fan, Nguyen Bach +2