I am a PhD student at UT Austin since 2011. My adviser is Adam Klivans. Starting 2015, I am partially supported by the Simons Award for Graduate Students in Theoretical Computer Science.
Earlier, I graduated from IIT Kanpur advised by Surender Baswana.
Email: kothari AT cs.utexas.edu


I am interested in computational complexity, pseudorandomness and computational learning theory.


Communication with Contextual Uncertainty (with Ilan Komargodski and Madhu Sudan )
Preprint 2015.

Sum of Squares Lower Bounds from Pairwise Independence (with Boaz Barak and Siu On Chan )
STOC 2015

Almost Optimal Pseudorandom Generators for Spherical Caps ( with Raghu Meka )
STOC 2015

Provable Submodular Minimization Using Wolfe's Algorithm ( with Deeparnab Chakrabarty and Prateek Jain )
NIPS 2014 (Oral Presentation)

Agnostic Learning of Disjunctions on Symmetric Distributions (with Vitaly Feldman )
JMLR, 2015 (to appear)

Embedding Hard Learning Problems in Gaussian Space (with Adam Klivans)

Nearly Tight Bounds for L_1 Approximating Self Bounding Functions (with Vitaly Feldman, Jan Vondrak)
Manuscript 2014

Testing Surface Area (with Ryan O'Donnell, Amir Nayerri and Chengang Wu)
SODA 2014

Learning Coverage Functions and Private Release of Marginals (with Vitaly Feldman)
COLT 2014

Representation, Approximation and Learning
of Submodular Functions Using Low-rank Decision Trees
(with Vitaly Feldman and Jan Vondrak)
COLT 2013

Constructing Hard Functions from Learning Algorithms (with Adam Klivans and Igor C. Oliveira)
CCC 2013

An Explicit VC-Theorem for Low-Degree Polynomials (with Eshan Chattopadhyay and Adam Klivans )

Differentially Private Online Learning (with Prateek Jain and Abhradeep Guha Thakurta)
COLT 2012

Submodular Functions are Noise Stable (with Adam Klivans, Homin K Lee and Mahdi Cheraghchi)
SODA 2012

Undergraduate Research

A Randomized Scheduler with Probabilistic Guarantees of Finding Bugs
(with Madan Musuvathi, Sebastian Burckhardt and Santosh Nagarakatte)