Pravesh K. Kothari
Pravesh K. Kothari
Research Instructor, Princeton University
Verified email at - Homepage
TitleCited byYear
A randomized scheduler with probabilistic guarantees of finding bugs
S Burckhardt, P Kothari, M Musuvathi, S Nagarakatte
ACM Sigplan Notices 45 (3), 167-178, 2010
Differentially private online learning
P Jain, P Kothari, A Thakurta
Conference on Learning Theory, 24.1-24.34, 2012
A nearly tight sum-of-squares lower bound for the planted clique problem
B Barak, S Hopkins, J Kelner, PK Kothari, A Moitra, A Potechin
SIAM Journal on Computing 48 (2), 687-735, 2019
Submodular functions are noise stable
M Cheraghchi, A Klivans, P Kothari, HK Lee
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete†…, 2012
Provable submodular minimization using Wolfe's algorithm
D Chakrabarty, P Jain, P Kothari
Advances in Neural Information Processing Systems, 802-809, 2014
Sum of squares lower bounds for refuting any CSP
PK Kothari, R Mori, R O'Donnell, D Witmer
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing†…, 2017
Concurrency software testing with probabilistic bounds on finding bugs
SC Burckhardt, PK Kothari, MS Musuvathi, SG Nagarakatte
US Patent 8,930,907, 2015
Sum of squares lower bounds from pairwise independence
B Barak, SO Chan, PK Kothari
Proceedings of the forty-seventh annual ACM symposium on Theory of computing†…, 2015
Learning coverage functions and private release of marginals
V Feldman, P Kothari
Conference on Learning Theory, 679-702, 2014
Approximating rectangles by juntas and weakly-exponential lower bounds for LP relaxations of CSPs
PK Kothari, R Meka, P Raghavendra
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing†…, 2017
Efficient algorithms for outlier-robust regression
A Klivans, PK Kothari, R Meka
arXiv preprint arXiv:1803.03241, 2018
Representation, approximation and learning of submodular functions using low-rank decision trees
V Feldman, P Kothari, J VondrŠk
Conference on Learning Theory, 711-740, 2013
Embedding hard learning problems into gaussian space
A Klivans, P Kothari
Approximation, Randomization, and Combinatorial Optimization. Algorithms and†…, 2014
On the integrality gap of degree-4 sum of squares for planted clique
SB Hopkins, P Kothari, AH Potechin, P Raghavendra, T Schramm
ACM Transactions on Algorithms (TALG) 14 (3), 28, 2018
Constructing hard functions using learning algorithms
A Klivans, P Kothari, IC Oliveira
2013 IEEE Conference on Computational Complexity, 86-97, 2013
The power of sum-of-squares for detecting hidden structures
SB Hopkins, PK Kothari, A Potechin, P Raghavendra, T Schramm, ...
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS†…, 2017
Testing surface area
P Kothari, A Nayyeri, R O'Donnell, C Wu
Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete†…, 2014
Robust moment estimation and improved clustering via sum of squares
PK Kothari, J Steinhardt, D Steurer
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing†…, 2018
Limits on low-degree pseudorandom generators (or: Sum-of-squares meets program obfuscation)
B Barak, Z Brakerski, I Komargodski, PK Kothari
Annual International Conference on the Theory and Applications of†…, 2018
An analysis of the t-sne algorithm for data visualization
S Arora, W Hu, PK Kothari
arXiv preprint arXiv:1803.01768, 2018
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