Santosh S. Vempala

Santosh S. Vempala

Georgia Institute of Technology

H-index: 71

North America-United States

About Santosh S. Vempala

Santosh S. Vempala, With an exceptional h-index of 71 and a recent h-index of 50 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Algorithms, Randomness, High-dimensional Geometry, Optimization, Foundations of Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time

Eldan's stochastic localization and the KLS conjecture: Isoperimetry, concentration and mixing

Computation with Sequences of Assemblies in a Model of the Brain

Sampling with Barriers: Faster Mixing via Lewis Weights

Efficiently Sampling the PSD Cone with the Metric Dikin Walk

Is Planted Coloring Easier than Planted Clique?

Calibrated language models must hallucinate

Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators

Santosh S. Vempala Information

University

Position

___

Citations(all)

21988

Citations(since 2020)

8617

Cited By

17330

hIndex(all)

71

hIndex(since 2020)

50

i10Index(all)

161

i10Index(since 2020)

122

Email

University Profile Page

Georgia Institute of Technology

Google Scholar

View Google Scholar Profile

Santosh S. Vempala Skills & Research Interests

Algorithms

Randomness

High-dimensional Geometry

Optimization

Foundations of Data Science

Top articles of Santosh S. Vempala

Title

Journal

Author(s)

Publication Date

Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time

Advances in Neural Information Processing Systems

Xinyuan Cao

Santosh Vempala

2024/2/13

Eldan's stochastic localization and the KLS conjecture: Isoperimetry, concentration and mixing

arXiv preprint arXiv:1612.01507

Yin Tat Lee

Santosh S Vempala

2016/12/5

Computation with Sequences of Assemblies in a Model of the Brain

Max Dabagia

Christos Papadimitriou

Santosh Vempala

2024/3/15

Sampling with Barriers: Faster Mixing via Lewis Weights

arXiv preprint arXiv:2303.00480

Khashayar Gatmiry

Jonathan Kelner

Santosh S Vempala

2023/3/1

Efficiently Sampling the PSD Cone with the Metric Dikin Walk

arXiv preprint arXiv:2307.12943

Yunbum Kook

Santosh S Vempala

2023/7/24

Is Planted Coloring Easier than Planted Clique?

Pravesh Kothari

Santosh S Vempala

Alexander S Wein

Jeff Xu

2023/7/12

Calibrated language models must hallucinate

arXiv preprint arXiv:2311.14648

Adam Tauman Kalai

Santosh S Vempala

2023/11/24

Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators

Yunbum Kook

Yin Tat Lee

Ruoqi Shen

Santosh Vempala

2023/7/12

The bit complexity of efficient continuous optimization

Mehrdad Ghadiri

Richard Peng

Santosh S Vempala

2023/4/4

The -Cap Process on Geometric Random Graphs

Mirabel E Reid

Santosh S Vempala

2023/7/12

Beyond moments: Robustly learning affine transformations with asymptotically optimal error

He Jia

Pravesh K Kothari

Santosh S Vempala

2023/11/6

Computation with Sequences in the Brain

arXiv preprint arXiv:2306.03812

Max Dabagia

Christos H Papadimitriou

Santosh S Vempala

2023/6/6

Convergence of Gibbs sampling: Coordinate Hit-and-Run mixes fast

Discrete & Computational Geometry

Aditi Laddha

Santosh S Vempala

2023/9

The manifold joys of sampling (invited talk)

Yin Tat Lee

Santosh S Vempala

2022

A unified view of graph regularity via matrix decompositions

Random Structures & Algorithms

Greg Bodwin

Santosh Vempala

2022/8

Provable lifelong learning of representations

Xinyuan Cao

Weiyang Liu

Santosh S Vempala

2022

Geodesic Walks in Polytopes

SIAM Journal on Computing

Yin Tat Lee

Santosh Vempala

2022

Sampling with Riemannian Hamiltonian Monte Carlo in a constrained space

Advances in Neural Information Processing Systems

Yunbum Kook

Yin-Tat Lee

Ruoqi Shen

Santosh Vempala

2022/12/6

Assemblies of neurons learn to classify well-separated distributions

Max Dabagia

Santosh S Vempala

Christos Papadimitriou

2022/6/28

A unified approach to discrepancy minimization

arXiv preprint arXiv:2205.01023

Nikhil Bansal

Aditi Laddha

Santosh S Vempala

2022/5/2

See List of Professors in Santosh S. Vempala University(Georgia Institute of Technology)