Vishesh Jain

Orcid: 0000-0002-7275-3218

According to our database1, Vishesh Jain authored at least 39 papers between 2017 and 2026.

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Bibliography

2026
Thinned Quantile Shares are Universally Feasible.
CoRR, May, 2026

Sampling Colorings Close to the Maximum Degree: Non-Markovian Coupling and Local Uniformity.
CoRR, April, 2026

Entropic independence via sparse localization.
CoRR, April, 2026

2025
An explicit economical additive basis.
Comb. Probab. Comput., 2025

2024
Optimal thresholds for Latin squares, Steiner Triple Systems, and edge colorings.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Rapid Mixing of the Down-Up Walk on Matchings of a Fixed Size.
Proceedings of the Approximation, 2024

2023
Optimal Minimization of the Covariance Loss.
IEEE Trans. Inf. Theory, February, 2023

Spencer's theorem in nearly input-sparsity time.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Optimal mixing of the down-up walk on independent sets of a given size.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

2022
Spectral independence, coupling, and the spectral gap of the Glauber dynamics.
Inf. Process. Lett., 2022

On the smallest singular value of symmetric random matrices.
Comb. Probab. Comput., 2022

On the number of Hadamard matrices via anti-concentration.
Comb. Probab. Comput., 2022

Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain.
CoRR, 2022

Approximate counting and sampling via local central limit theorems.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Entropic independence: optimal mixing of down-up random walks.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

2021
Entropic Independence II: Optimal Sampling and Concentration via Restricted Modified Log-Sobolev Inequalities.
CoRR, 2021

Entropic Independence in High-Dimensional Expanders: Modified Log-Sobolev Inequalities for Fractionally Log-Concave Polynomials and the Ising Model.
CoRR, 2021

Spectral independence, coupling with the stationary distribution, and the spectral gap of the Glauber dynamics.
CoRR, 2021

On the sampling Lovász Local Lemma for atomic constraint satisfaction problems.
CoRR, 2021

Anticoncentration versus the number of subset sums.
CoRR, 2021

Perfectly sampling <i>k</i> ≥ (8/3 + <i>o</i>(1))Δ-colorings in graphs.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

A First Principle Based Investigation on the Effects of Stacking Configuration and Biaxial Strain on the Electronic Properties of Bilayer MoS2.
Proceedings of the 4th International Symposium on Devices, Circuits and Systems, 2021

Towards the sampling Lovász Local Lemma.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

2020
Towards the linear arboricity conjecture.
J. Comb. Theory B, 2020

On the smoothed analysis of the smallest singular value with discrete noise.
CoRR, 2020

Perfectly Sampling k≥ (8/3 +o(1))Δ-Colorings in Graphs.
CoRR, 2020

On the real Davies' conjecture.
CoRR, 2020

Kac meets Johnson and Lindenstrauss: a memory-optimal, fast Johnson-Lindenstrauss transform.
CoRR, 2020

Number of 1-Factorizations of Regular High-Degree Graphs.
Comb., 2020

2019
On the k-planar local crossing number.
Discret. Math., 2019

Smoothed analysis of the least singular value without inverse Littlewood-Offord theory.
CoRR, 2019

Mean-field approximation, convex hierarchies, and the optimality of correlation rounding: a unified perspective.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation.
Proceedings of the Conference on Learning Theory, 2019

2018
1-Factorizations of Pseudorandom Graphs.
Proceedings of the 59th IEEE Annual Symposium on Foundations of Computer Science, 2018

The Vertex Sample Complexity of Free Energy is Polynomial.
Proceedings of the Conference On Learning Theory, 2018

The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity.
Proceedings of the Conference On Learning Theory, 2018

2017
Approximating Partition Functions in Constant Time.
CoRR, 2017

A Counterexample to the "Majority is Least Stable" Conjecture.
CoRR, 2017


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