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20132023
most citedSingularity of random symmetric matrices -- a combinatorial approach to improved bounds

25 citations · 70 across the 30 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.DS2021

Entropic Independence II: Optimal Sampling and Concentration via Restricted Modified Log-Sobolev Inequalities

Nima Anari, Vishesh Jain, Frederic Koehler +2

We introduce a framework for obtaining tight mixing times for Markov chains based on what we call restricted modified log-Sobolev inequalities. Modified log-Sobolev inequalities (M…

cs.DS2021

Approximate counting and sampling via local central limit theorems

Vishesh Jain, Will Perkins, Ashwin Sah +1

We give an FPTAS for computing the number of matchings of size in a graph of maximum degree on vertices, for all , where is fixed and $m^*(…

math.PR2021

Random symmetric matrices: rank distribution and irreducibility of the characteristic polynomial

Asaf Ferber, Vishesh Jain, Ashwin Sah +1

Conditional on the extended Riemann hypothesis, we show that with high probability, the characteristic polynomial of a random symmetric -matrix is irreducible. This addr…

cs.DS2021★ 1 cited

Entropic Independence I: Modified Log-Sobolev Inequalities for Fractionally Log-Concave Distributions and High-Temperature Ising Models

Nima Anari, Vishesh Jain, Frederic Koehler +2

We introduce a notion called entropic independence that is an entropic analog of spectral notions of high-dimensional expansion. Informally, entropic independence of a background d…

cs.DS2021

Spectral independence, coupling with the stationary distribution, and the spectral gap of the Glauber dynamics

Vishesh Jain, Huy Tuan Pham, Thuy Duong Vuong

We present a new lower bound on the spectral gap of the Glauber dynamics for the Gibbs distribution of a spectrally independent -spin system on a graph with maximum…

math.PR2021

Rank deficiency of random matrices

Vishesh Jain, Ashwin Sah, Mehtaab Sawhney

Let be a random matrix with i.i.d. entries. We show that for fixed , \[\lim_{n\to \infty}\frac{1}{n}\log_2\mathbb{P}[\text{corank…

cs.DS2021★ 6 cited

On the sampling Lovász Local Lemma for atomic constraint satisfaction problems

Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong

We study the problem of sampling an approximately uniformly random satisfying assignment for atomic constraint satisfaction problems i.e. where each constraint is violated by only…

math.CO2021

Anticoncentration versus the number of subset sums

Vishesh Jain, Ashwin Sah, Mehtaab Sawhney

Let . We show that for any , if \[\#\{\vecξ \in \{0,1\}^{n}: \langle \vecξ, \vec{w} \rangle = τ\} \ge 2^{-εn}\cdot 2…