6 citations · 11 across the 17 of their papers we have counts for
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Optimal and algorithmic norm regularization of random matrices
Vishesh Jain, Ashwin Sah, Mehtaab Sawhney
Let be an random matrix whose entries are i.i.d. with mean and variance . We present a deterministic polynomial time algorithm which, with probability at lea…
On the smallest singular value of symmetric random matrices
Vishesh Jain, Ashwin Sah, Mehtaab Sawhney
We show that for an random symmetric matrix , whose entries on and above the diagonal are independent copies of a sub-Gaussian random variable with mean an…
On the smoothed analysis of the smallest singular value with discrete noise
Vishesh Jain, Ashwin Sah, Mehtaab Sawhney
Let be an real matrix, and let be an random matrix whose entries are i.i.d sub-Gaussian random variables with mean and variance . We make two…
The smallest singular value of dense random regular digraphs
Vishesh Jain, Ashwin Sah, Mehtaab Sawhney
Let be the adjacency matrix of a uniformly random -regular digraph on vertices, and suppose that . We show that for any , \[\mathbb{P}[s_n(A)…
Perfectly Sampling -Colorings in Graphs
Vishesh Jain, Ashwin Sah, Mehtaab Sawhney
We present a randomized algorithm which takes as input an undirected graph on vertices with maximum degree , and a number of colors , and returns…
Diagonal Ramsey via effective quasirandomness
Ashwin Sah
We improve the upper bound for diagonal Ramsey numbers to \[R(k+1,k+1)\le\exp(-c(\log k)^2)\binom{2k}{k}\] for . To do so, we build on a quasirandomness and induction frame…