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From the 1 of 88 linked papers with an AI index.

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20172026
most citedEarly science acceleration experiments with GPT-5

3 citations · 17 across the 56 of their papers we have counts for

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Showing 2020 · math.PRShow all

7 papers · 2 filters

math.PR2020

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…

math.PR2020

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…

math.PR2020

Singularity of discrete random matrices

Vishesh Jain, Ashwin Sah, Mehtaab Sawhney

Let be a non-constant real-valued random variable with finite support, and let denote an random matrix with entries that are independent copies of . F…

math.PR2020

Sharp invertibility of random Bernoulli matrices

Vishesh Jain, Ashwin Sah, Mehtaab Sawhney

Let be fixed, and let be an random matrix with i.i.d. Bernoulli random variables with mean . We show that for all , \[\mathbb{P}[s_…

math.PR2020

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…

math.PR2020

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)…