Hello! My name is Saurabh Garg and I am a first year PhD student at Machine Learning Department at CMU where I am advised by Prof. Zachary Lipton and Prof. Zico Kolter. I graduated from IIT Bombay, India with major and honors in Computer Science and Engineering and minors in Applied Statitics and Informatics in 2018. My Research Interests broadly lie in the field of Statistical and Robust Machine Learning. I spent one amazing year at Samsung Headquaters, Korea.

In the past, I have worked with Prof. Suyash Awate on building Statistical Machine Learning algorithms for exact MCMC samspling as a part of my Bachelor’s thesis. During my stay at IITB, I have also spent major time working with Prof. Preethi Jyothi on the problem of builing robust langauge models for code switched speech. During Summer 2018, I was fortunate to work with Prof. Soumen Chakrabarti on Question Answering using KG and corpus.

During Summer 2017, I did a internship at Samsung Electronics HQ, Korea. Previously, I interned at the Purdue University, US where I worked with Prof. Alex Pothen on designing approximation algorithms for weighted b-Matching.


March 2020: New work on label shift is up on arxiv -- "A Unified View of Label Shift Estimation"
June 2019: I will be joining CMU ML Ph.D. in fall 2019.
April 2019: My B.Tech thesis titled "Estimating Uncertainty in MRF-based Image Segmentation: An Exact-MCMC Approach" got accepted at Medical Image Analysis 2019 journal
Dec. 2018: Received Excellence in Research Award from CSE dept, IIT Bombay
Nov. 2018: Presented my paper"Code-Switched Language models using Dual RNNs and Same-Source Pretraining" at EMNLP 2018, Brussels (poster)
Oct. 2018: Paper titled "Neural Architecture for Question Answering Using a Knowledge Graph and Web Corpus" got accepted at Information Retrieval Journal
Sept. 2018: Moved to Suwon, South Korea and joined Samsung Research Korea as Engineer
Sept. 2018: Presented my paper "Dual Language Models for Code Mixed Speech Recognition" at Interspeech 2018, Hyderabad (poster)
Aug. 2018: Graduated from IIT Bombay.
May 2018: Paper titled "Uncertainty Estimation in Segmentation with Perfect MCMC Sampling in Bayesian MRFs" got accepted at MICCAI, 2018 (poster)
Dec 2018: Invited to spend two weeks at Microsoft Research India to work on Indian language technologies with Prof. Preethi Jyothi
May 2017: Internship @ Samsung Research Korea
May 2016: Internship at Purdue Univeristy, US advised by Prof. Alex Pothen
July 2015: Changed branch from Electrical Engineering to Computer Science Engineering
July 2014: Joined IIT Bombay