Dilin Wang


The Artificial Intelligence Lab

Department of Computer Science

UT Austin


Email: dilin@cs.utexas.edu

I am a 4th year computer science Ph.D. student at University of Texas at Austin, advised by Professor Qiang Liu. My research interests are in statistical machine learning and deep learning.

Publications Google Scholar

Variational Inference with Tail-adaptive f-Divergence

Dilin Wang, Hao Liu and Qiang Liu

Advances in Neural Information Processing Systems (NIPS) 2018   Oral

[arxiv]    [code]

Stein Variational Gradient Descent as Moment Matching

Qiang Liu and Dilin Wang

Advances in Neural Information Processing Systems (NIPS) 2018

[arxiv]   [code]

Stein Variational Message Passing for Continuous Graphical Models

Dilin Wang*, Zhe Zeng* and Qiang Liu    (* equal contribution)

International Conference on Machine Learning (ICML) 2018

[arxiv]    [code]

An Optimization View on Dynamic Routing Between Capsules

Dilin Wang and Qiang Liu

ICLR 2018 Workshop

[paper]

Learning to Draw Samples with Amortized Stein Variational Gradient Descent

Yihao Feng, Dilin Wang, Qiang Liu

The Conference on Uncertainty in Artificial Intelligence (UAI) 2017

[arxiv]    [code]

Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning

Dilin Wang and Qiang Liu

A short version was presented at NIPS Bayesian Deep Learning Workshop (contributed talk) 2016

[arxiv]     [code]

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Qiang Liu and Dilin Wang

Advances in Neural Information Processing Systems (NIPS) 2016

[paper]    [code]

Entity Disambiguation by Knowledge and Text Jointly Embedding

Wei Fang, Jianwen Zhang, Dilin Wang, Zheng Chen and Ming Li

Conference on Natural Language Learning (CONLL) 2016

[paper]

Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds

Dilin Wang, John Fisher III and Qiang Liu

The Conference on Uncertainty in Artificial Intelligence (UAI) 2016   Oral

[paper]

Experiences

•  2016.06 - 2016.09  Research Intern at Microsoft Research Redmond

•  2013.11 - 2014.08  Research Intern at Microsoft Research Asia