Hanxiao Liu
PIC
6227 Gates-Hillman Center   
Carnegie Mellon University
PIC

Readme

I’m a Ph.D. student in the Language Technologies Institute, School of Computer Science at Carnegie Mellon University, working with Professor Yiming Yang. Prior to that, I received my B.E. from Department of Automation at Tsinghua University in 2013.

My research interests include deep learning, reinforcement learning and natural language understanding. Recently, I’m working on the automatic design of neural architectures.

Work Experience

Publications

“*” indicates equal contribution. Co-first authors are ordered alphabetically.

Professional Activities

Reviewer, ICML 2017, NIPS 2017, AAAI 2017, Neural Computation.
Reviewer, ICML 2016, NIPS 2016.

Notes

0.
Generative Adversarial Networks
1.
Reinforcement Learning
2.
Rademacher Complexity and VC Dimension
3.
Spectral Analysis of Stationary Stochastic Process
4.
Screening Tests for the Lasso
5.
Large-Scale Stochastic Optimization
6.
Adaptive Stochastic Subgradient Methods
7.
Variational Inference for Bayes von Mises-Fisher Mixture
8.
The EM algorithm and Variational Bayes
9.
Spectral Algorithms

Last compiled on Tuesday 7th November, 2017 by TEX4ht.
Copyright  2017 Hanxiao Liu. All Rights Reserved.