Faculty

Institution

Unit

Venue

Vishesh Jain

Associate Professor

University of Illinois Chicago

Affiliations

College of Liberal Arts and Sciences

Mathematics, Statistics, and Computer Science

Vishesh Jain is currently serving as a College Of Liberal Arts And Sciences Associate Professor at University of Illinois Chicago.

Honors

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Experiences

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Education

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Vishesh Jain

University of Illinois Chicago

Associate Professor

You can click a keyword to filter the displayed items

applied mathematics mathematics combinatorics combinatorial theory mathematical optimization matrix theory graph theory discrete mathematics mathematical sciences discrete algorithms random matrix probability theory matrix analysis spectral theory combinatorial optimization extremal graph theory linear algebra sampling random graphs structural graph theory statistical inference computational statistics convex analysis computational optimization geometric topology theoretical physics sampling theory probabilistic graph theory mathematical statistics randomized algorithms extremal combinatorics convex optimization optimal transport spectral independence log-sobolev inequalities edge colorings steiner triple systems optimal thresholds applied physics materials science mathematical physics approximate reasoning social choice bayesian analysis boundary value problems general systems engineering mathematics complexity theory belief function extremal set theory sampling (statistics) discrete probability markov chain monte carlo pattern matching graph matching matching technique multivariate approximation constructive approximation approximation methods algebraic graph theory global analysis variational analysis analytic combinatorics enumerative combinatorics riemann-hilbert problem random symmetric matrices discrete random matrices optimal sampling quantitative invertibility combinatorial view strong circular law smallest singular value vertex sample complexity latin squares random bernoulli matrices sharp invertibility graph decompositions theoretical computer science probabilistic analysis information theory

Notable Scholarly Works

Notable Federal Grants

Collaborators

Optimal Thresholds for Latin Squares, Steiner Triple Systems, and Edge Colorings. Society for Industrial and Applied Mathematics eBooks (2024)

Vishesh JainHuy Tuan Pham

edge coloringslatin squaresapplied mathematicssteiner triple systemsoptimal thresholds

Universality of Spectral Independence With Applications to Fast Mixing in Spin Glasses. Society for Industrial and Applied Mathematics eBooks (2024)

Nima AnariVishesh JainFrederic KoehlerHuy Tuan PhamThuy-Duong Vuong

mathematical physicsspectral independenceengineering mathematicsapplied physicsapplied mathematicsmaterials science

Approximate Counting and Sampling via Local Central Limit Theorems. ACM Transactions on Computation Theory (2023)

applied probabilitymathematical statisticsasymptotic analysissamplingcomputational statisticssampling theoryapproximate countingprobability theorystatistical inferencestatisticssampling (statistics)

Counting, Sampling, and Markov Chains. Comptes Rendus Mathematique (2023)

computer scienceapplied probabilitydiscrete probabilitymarkov chain monte carlosamplingstochastic processprobability theorybayesian analysisstatisticsmarkov chains

Dimension Reduction for Maximum Matchings and the Fastest Mixing Markov Chain. Comptes Rendus Mathématique (2023)

Vishesh JainHuy PhamThuy-Duong Vuong

graph theorydimension reductionnumerical analysismaximum matchingsapplied mathematics

On the Sampling LováSz Local Lemma for Atomic Constraint Satisfaction Problems. SIAM Journal on Computing (2023)

mathematical optimizationcomputational complexity theorylovász local lemmamathematicstheoretical computer sciencediscrete mathematicsalgorithmic information theoryapplied mathematicsmathematical sciences

Optimal Mixing of the Down-Up Walk on Independent Sets of a Given Size. arXiv (Cornell University) (2023)

Vishesh JainMarcus MichelenHuy Tuan PhamThuy-Duong Vuong

independent setsoptimal mixingmachine learningstatisticsdown-up walk

On the Smallest Singular Value of Symmetric Random Matrices. Combinatorics, Probability and Computing (2022)

symmetric random matricesmatrix analysislinear algebramathematicsconvex analysismatrix theoryapplied mathematicsrandom matrix

Optimal Minimization of the Covariance Loss. IEEE Transactions on Information Theory (2022)

Vishesh JainAshwin SahMehtaab Sawhney

mathematical optimizationoptimal minimizationcovariance lossapplied mathematicstime series

Rank Deficiency of Random Matrices. Electronic Communications in Probability (2022)

Vishesh JainAshwin SahMehtaab Sawhney

matrix theoryrank deficiencyapplied mathematicsmachine learning

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Vishesh Jain

Associate Professor

University of Illinois Chicago

Affiliations

College of Liberal Arts and Sciences

Mathematics, Statistics, and Computer Science

Vishesh Jain is currently serving as a College Of Liberal Arts And Sciences Associate Professor at University of Illinois Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Vishesh Jain

University of Illinois Chicago

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Optimal Thresholds for Latin Squares, Steiner Triple Systems, and Edge Colorings. Society for Industrial and Applied Mathematics eBooks (2024)

Vishesh JainHuy Tuan Pham

edge coloringslatin squaresapplied mathematicssteiner triple systemsoptimal thresholds

Universality of Spectral Independence With Applications to Fast Mixing in Spin Glasses. Society for Industrial and Applied Mathematics eBooks (2024)

Nima AnariVishesh JainFrederic KoehlerHuy Tuan PhamThuy-Duong Vuong

mathematical physicsspectral independenceengineering mathematicsapplied physicsapplied mathematicsmaterials science

Approximate Counting and Sampling via Local Central Limit Theorems. ACM Transactions on Computation Theory (2023)

applied probabilitymathematical statisticsasymptotic analysissamplingcomputational statisticssampling theoryapproximate countingprobability theorystatistical inferencestatisticssampling (statistics)

Counting, Sampling, and Markov Chains. Comptes Rendus Mathematique (2023)

computer scienceapplied probabilitydiscrete probabilitymarkov chain monte carlosamplingstochastic processprobability theorybayesian analysisstatisticsmarkov chains

Dimension Reduction for Maximum Matchings and the Fastest Mixing Markov Chain. Comptes Rendus Mathématique (2023)

Vishesh JainHuy PhamThuy-Duong Vuong

graph theorydimension reductionnumerical analysismaximum matchingsapplied mathematics

On the Sampling LováSz Local Lemma for Atomic Constraint Satisfaction Problems. SIAM Journal on Computing (2023)

Optimal Mixing of the Down-Up Walk on Independent Sets of a Given Size. arXiv (Cornell University) (2023)

Vishesh JainMarcus MichelenHuy Tuan PhamThuy-Duong Vuong

independent setsoptimal mixingmachine learningstatisticsdown-up walk

On the Smallest Singular Value of Symmetric Random Matrices. Combinatorics, Probability and Computing (2022)

symmetric random matricesmatrix analysislinear algebramathematicsconvex analysismatrix theoryapplied mathematicsrandom matrix

Optimal Minimization of the Covariance Loss. IEEE Transactions on Information Theory (2022)

Vishesh JainAshwin SahMehtaab Sawhney

mathematical optimizationoptimal minimizationcovariance lossapplied mathematicstime series

Rank Deficiency of Random Matrices. Electronic Communications in Probability (2022)

Vishesh JainAshwin SahMehtaab Sawhney

matrix theoryrank deficiencyapplied mathematicsmachine learning

1
2
3
4
10 / page

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Similar Faculty Members

Brendan T. Nagle

Institution

University of South Florida

hypergraph theory

combinatorics

Greta Panova

Institution

University of Southern California

statistical mechanic

theoretical biology

Boris Pittel

Institution

Ohio State University

statistical mechanic

discrete algorithm

Tomasz Tkocz

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Carnegie Mellon University

probability theory

information theory

Boris Shekhtman

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spectral theory

functional analysis

Richard Ehrenborg

Institution

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mathematics education

discrete structure

Patrick Bennett

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discrete algorithm

combinatorics

Konstantin Tikhomirov

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Carnegie Mellon University

applied mathematics

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probability theory

discrete geometry

Jonathan Niles-Weed

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information theory

high-dimensional statistics