I am looking for students! Apply at Rice CS PhD program!
Our algorithm in the news!
Our algorithm in the Rice news!
Fast and provable algorithms for QST at Nature.
Simple algorithms for low-rank approximations at UAI 2018.
IHT-dies-hard paper got accepted at AISTATS 2018.
Statistical inference using SGD got accepted at AAAI 2018.
Setting up a Nvidia GPU-equipped computer
Very roughly, there are two trends in deep learning research: one is on applications (check the vast volume of new papers in the ArXiv RSS feeds of Learning Theory, Machine Learning; even Optimization). The other is understanding how to train/set up a deep neural network. The latter is exactly what creates doubts to/worries/concerns/interests me. We have (almost) no idea why these tools work and how we should train them.
Our paper in AISTATS 2017
Non-convex workshop at ICML 2016 - Part I
With this blog post, I want to summarize the key points presented at the ICML 2016 workshop Advances in non-convex analysis and optimization, hosted by Animashree Anandkumar, Sivaraman Balakrishnan, Srinadh Bhojanapalli, Kamalika Chaudhuri, Yudong Chen, Percy Liang, Praneeth Netrapalli, Sewoong Oh, Zhaoran Wang, and me.
Papers in ICML 2016 & COLT 2016
Workshop on non-convex methods at ICML 2016!
Simons Seminar at UT
This semester I’m co-organizing the Simons seminar at UT Austin.
Telling a story about IHT using Python (Chapter II)
In this notebook, $(i)$ we will further dive in the original IHT scheme and note some of its pros/cons in solving the CS problem, and $(ii)$ we will provide an overview of more recent developments on constant step size selection for IHT.
Three papers accepted to AISTATS 2016
Telling a story about IHT using Python (Chapter I)
The purpose of this notebook is 2-fold: $(i)$ Since this is the first attempt to “migrate” from Matlab-type-of-mathematical-programming language to Python language, this very first notebook serves as a guide for future posts. $(ii)$ This is a loooong post that presents Iterative Hard Thresholding (IHT) algorithm and its variants, a method that solves Compressive Sensing problems in the non-convex setting.
Seminars at UT
This semester I’m co-organizing two seminars at UT Austin.
New webpage (under construction)
Hello everyone! I’m currently editing my new webpage. The aim is to include blog posts, most of the projects I have worked on (with codes included), updates on my publications and other.