papers

Publications (20)

cs.GT2022

Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise

Komal Dhull, Steven Jecmen, Pravesh Kothari +1

Strategic behavior is a fundamental problem in a variety of real-world applications that require some form of peer assessment, such as peer grading of homeworks, grant proposal rev…

quant-ph2017

Quantum entanglement, sum of squares, and the log rank conjecture

Boaz Barak, Pravesh Kothari, David Steurer

For every , we give an -time algorithm for the vs \emph{Best Separable State (BSS)} problem of distinguishing, given an $n^2\times…

cs.LG2014

Learning Coverage Functions and Private Release of Marginals

Vitaly Feldman, Pravesh Kothari

We study the problem of approximating and learning coverage functions. A function is a coverage function, if there exists a universe wit…

cs.CC2021

Playing Unique Games on Certified Small-Set Expanders

Mitali Bafna, Boaz Barak, Pravesh Kothari +2

We give an algorithm for solving unique games (UG) instances whenever low-degree sum-of-squares proofs certify good bounds on the small-set-expansion of the underlying constraint g…

cs.CC2015

Communication with Contextual Uncertainty

Badih Ghazi, Ilan Komargodski, Pravesh Kothari +1

We introduce a simple model illustrating the role of context in communication and the challenge posed by uncertainty of knowledge of context. We consider a variant of distributiona…

cs.CC2015

Almost Optimal Pseudorandom Generators for Spherical Caps

Pravesh Kothari, Raghu Meka

Halfspaces or linear threshold functions are widely studied in complexity theory, learning theory and algorithm design. In this work we study the natural problem of constructing ps…

cs.DS2020

Outlier-Robust Clustering of Non-Spherical Mixtures

Ainesh Bakshi, Pravesh Kothari

We give the first outlier-robust efficient algorithm for clustering a mixture of statistically separated d-dimensional Gaussians (k-GMMs). Concretely, our algorithm takes input…

cs.GT2019

Approximation Schemes for a Unit-Demand Buyer with Independent Items via Symmetries

Pravesh Kothari, Divyarthi Mohan, Ariel Schvartzman +2

We consider a revenue-maximizing seller with items facing a single buyer. We introduce the notion of symmetric menu complexity of a mechanism, which counts the number of distin…

cs.LG2011

Submodular Functions Are Noise Stable

Mahdi Cheraghchi, Adam Klivans, Pravesh Kothari +1

We show that all non-negative submodular functions have high {\em noise-stability}. As a consequence, we obtain a polynomial-time learning algorithm for this class with respect to…

cs.LG2019

Tight Bounds on Approximation and Learning of Self-Bounding Functions

Vitaly Feldman, Pravesh Kothari, Jan Vondrák

We study the complexity of learning and approximation of self-bounding functions over the uniform distribution on the Boolean hypercube . Informally, a function $f:{0,1}^n…

cs.LG2015

Agnostic Learning of Disjunctions on Symmetric Distributions

Vitaly Feldman, Pravesh Kothari

We consider the problem of approximating and learning disjunctions (or equivalently, conjunctions) on symmetric distributions over . Symmetric distributions are distribu…

cs.LG2011

Differentially Private Online Learning

Prateek Jain, Pravesh Kothari, Abhradeep Thakurta

In this paper, we consider the problem of preserving privacy in the online learning setting. We study the problem in the online convex programming (OCP) framework---a popular onlin…

cs.DS2024

Sum-of-Squares Lower Bounds for Independent Set in Ultra-Sparse Random Graphs

Pravesh Kothari, Aaron Potechin, Jeff Xu

We prove that for every , and large enough constant , with high probability over the choice of , the \Erdos-\Renyi random graph distribution, t…

cs.CC2015

Sum of Squares Lower Bounds from Pairwise Independence

Boaz Barak, Siu On Chan, Pravesh Kothari

We prove that for every and predicate that supports a pairwise independent distribution, there exists an instance of the $\mat…

cs.LG2013

Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees

Vitaly Feldman, Pravesh Kothari, Jan Vondrak

We study the complexity of approximate representation and learning of submodular functions over the uniform distribution on the Boolean hypercube . Our main result is th…

cs.DS2014

Provable Submodular Minimization using Wolfe's Algorithm

Deeparnab Chakrabarty, Prateek Jain, Pravesh Kothari

Owing to several applications in large scale learning and vision problems, fast submodular function minimization (SFM) has become a critical problem. Theoretically, unconstrained S…

cs.DS2024

Efficient Certificates of Anti-Concentration Beyond Gaussians

Ainesh Bakshi, Pravesh Kothari, Goutham Rajendran +2

A set of high dimensional points in isotropic position is said to be -anti concentrated if for every direction , the fraction of poi…

quant-ph2026

Sharp Bounds on the Eigenvalues of Kikuchi Graphs and Applications to Quantum Max Cut

Ainesh Bakshi, Arpon Basu, Pravesh Kothari +1

We prove that the maximum eigenvalue of the (both signed and unsigned) Laplacian of level Kikuchi graph of any graph with edges is at most . This confirms four rec…

cs.DS2026

Improved Certificates for Independence Number in Semirandom Hypergraphs

Pravesh Kothari, Anand Louis, Rameesh Paul +1

We study the problem of efficiently certifying upper bounds on independence number of -uniform hypergraphs in semirandom models. This is a notoriously hard problem, with effi…

cs.DS2018

SOS lower bounds with hard constraints: think global, act local

Pravesh Kothari, Ryan O'Donnell, Tselil Schramm

Many previous Sum-of-Squares (SOS) lower bounds for CSPs had two deficiencies related to global constraints. First, they were not able to support a "cardinality constraint", as in,…