activity
20122026
most citedImproved Lower Bounds for the Restricted Isometry Property of Subsampled Fourier Matrices

3 citations · 8 across the 11 of their papers we have counts for

collaborators

16 papers

quant-ph2026

Noisy Quantum Query Complexity via Fractional Block Sensitivity

Mehil Agarwal, Shravas Rao, Fang Song

We study quantum query complexity under several models of imperfect oracle access, and develop lower bounds through a common framework based on fractional block sensitivity ($\oper…

math.PR2025

Towards a Banach Space Chernoff Bound for Markov Chains via Chaining Arguments

Shravas Rao

Let be a stationary reversible Markov chain with state space , let be a real-valued Banach space and let $f_1, \ldots, f_n: [N] \ri…

cs.DS2024

Expanderizing Higher Order Random Walks

Vedat Levi Alev, Shravas Rao

We study a variant of the down-up and up-down walks over an -partite simplicial complex, which we call expanderized higher order random walks -- where the sequence of updated co…

cs.IT2023

Satisfying the Restricted Isometry Property with the Optimal Number of Rows and Slightly Less Randomness

Shravas Rao

A matrix satisfies the restricted isometry property if is approximately equal to for all -sparse vectors . We give a c…

math.CO2021

The Fourier Transform of Restrictions of Functions on the Slice

Shravas Rao

This paper considers the Fourier transform over the slice of the Boolean hypercube. We prove a relationship between the Fourier coefficients of a function over the slice, and the F…

quant-ph2020

Degree vs. Approximate Degree and Quantum Implications of Huang's Sensitivity Theorem

Scott Aaronson, Shalev Ben-David, Robin Kothari +2

Based on the recent breakthrough of Huang (2019), we show that for any total Boolean function , : The degree of…

math.PR2019

Concentration of Markov chains with bounded moments

Assaf Naor, Shravas Rao, Oded Regev

Let be a finite state stationary Markov chain, and suppose that is a real-valued function on the state space. If is bounded, then Gillman's expande…

math.CO2019

The Littlewood-Offord Problem for Markov Chains

Shravas Rao

The celebrated Littlewood-Offord problem asks for an upper bound on the probability that the random variable lies in the Euclidean unit ball, where $ε_…

cs.IT2019★ 3 cited

Improved Lower Bounds for the Restricted Isometry Property of Subsampled Fourier Matrices

Shravas Rao

Let be an Fourier matrix over for some prime . We improve upon known lower bounds for the number of rows of that must be sa…

cs.IT2019★ 2 cited

An Improved Lower Bound for Sparse Reconstruction from Subsampled Walsh Matrices

Jarosław Błasiok, Patrick Lopatto, Kyle Luh +2

We give a short argument that yields a new lower bound on the number of subsampled rows from a bounded, orthonormal matrix necessary to form a matrix with the restricted isometry p…

math.PR2018

A Hoeffding inequality for Markov chains

Shravas Rao

We prove deviation bounds for the random variable in which is a Markov chain with stationary distribution and state space ,…

math.PR2017

A Sharp Tail Bound for the Expander Random Sampler

Shravas Rao, Oded Regev

Consider an expander graph in which a fraction of the vertices are marked. A random walk starts at a uniform vertex and at each step continues to a random neighbor. Gillman sho…

math.CO2016★ 2 cited

Arithmetic expanders and deviation bounds for random tensors

Jop Briët, Shravas Rao

We prove hypergraph variants of the celebrated Alon-Roichman theorem on spectral expansion of sparse random Cayley graphs. One of these variants implies that for every prime $p\geq…

cs.GT2015

Applications of -strongly regular distributions to Bayesian auctions

Richard Cole, Shravas Rao

Two classes of distributions that are widely used in the analysis of Bayesian auctions are the Monotone Hazard Rate (MHR) and Regular distributions. They can both be characterized…

cs.DM2015

On Lipschitz Bijections between Boolean Functions

Shravas Rao, Igor Shinkar

For two functions a mapping is said to be a $\textit{mapping from $fg$}$ if it is a bijection and for every…

math.PR2012★ 1 cited

Finding hitting times in various graphs

Shravas Rao

The hitting time, h_uv, of a random walk on a finite graph G, is the expected time for the walk to reach vertex v given that it started at vertex u. We present two methods of calcu…