Mark Sellke

Mark Sellke

Stanford University

H-index: 18

North America-United States

About Mark Sellke

Mark Sellke, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Probability, Spin Glasses, Optimization, Statistics, Multi-Armed Bandits.

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

Localization of Random Surfaces with Monotone Potentials and an FKG-Gaussian Correlation Inequality

Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits

On size-independent sample complexity of ReLU networks

No Free Prune: Information-Theoretic Barriers to Pruning at Initialization

Optimization algorithms for multi-species spherical spin glasses

Covering Irrep(S_n) With Tensor Products and Powers

Optimizing mean field spin glasses with external field

Shattering in pure spherical spin glasses

Mark Sellke Information

University

Position

PhD student

Citations(all)

1088

Citations(since 2020)

1057

Cited By

230

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

22

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Mark Sellke Skills & Research Interests

Probability

Spin Glasses

Optimization

Statistics

Multi-Armed Bandits

Top articles of Mark Sellke

Localization of Random Surfaces with Monotone Potentials and an FKG-Gaussian Correlation Inequality

arXiv preprint arXiv:2402.18737

2024/2/28

Mark Sellke
Mark Sellke

H-Index: 8

Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits

Advances in Neural Information Processing Systems

2024/2/13

Mark Sellke
Mark Sellke

H-Index: 8

On size-independent sample complexity of ReLU networks

Information Processing Letters

2024/2/7

Mark Sellke
Mark Sellke

H-Index: 8

No Free Prune: Information-Theoretic Barriers to Pruning at Initialization

arXiv preprint arXiv:2402.01089

2024/2/2

Mark Sellke
Mark Sellke

H-Index: 8

Optimization algorithms for multi-species spherical spin glasses

Journal of Statistical Physics

2024/2

Mark Sellke
Mark Sellke

H-Index: 8

Covering Irrep(S_n) With Tensor Products and Powers

Mathematische Annalen

2024

Mark Sellke
Mark Sellke

H-Index: 8

Optimizing mean field spin glasses with external field

Electronic Journal of Probability

2024

Mark Sellke
Mark Sellke

H-Index: 8

Shattering in pure spherical spin glasses

arXiv preprint arXiv:2307.04659

2023/7/10

The threshold energy of low temperature Langevin dynamics for pure spherical spin glasses

Communications on Pure and Applied Mathematics

2023/5/13

Mark Sellke
Mark Sellke

H-Index: 8

Free energy subadditivity for symmetric random Hamiltonians

Journal of Mathematical Physics

2023/4/1

Mark Sellke
Mark Sellke

H-Index: 8

Algorithmic threshold for multi-species spherical spin glasses

arXiv preprint arXiv:2303.12172

2023/3/21

Mark Sellke
Mark Sellke

H-Index: 8

A Universal Law of Robustness via Isoperimetry

Journal of the ACM

2023/3/21

Mark Sellke
Mark Sellke

H-Index: 8

First-Order Bayesian Regret Analysis of Thompson Sampling

IEEE Transactions on Information Theory

2023/3

Mark Sellke
Mark Sellke

H-Index: 8

Tight Space Lower Bound for Pseudo-Deterministic Approximate Counting

2023

Mark Sellke
Mark Sellke

H-Index: 8

The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity

Operations Research

2023

Mark Sellke
Mark Sellke

H-Index: 8

Mean square displacement of Brownian paths perturbed by bounded pair potentials

arXiv e-prints

2023/12

Tobias Schmidt
Tobias Schmidt

H-Index: 6

Mark Sellke
Mark Sellke

H-Index: 8

A Constructive Proof of the Spherical Parisi Formula

arXiv preprint arXiv:2311.15495

2023/11/27

Mark Sellke
Mark Sellke

H-Index: 8

When does adaptivity help for quantum state learning?

2023/11/6

Sampling from Mean-Field Gibbs Measures via Diffusion Processes

arXiv preprint arXiv:2310.08912

2023/10/13

Local algorithms for maximum cut and minimum bisection on locally treelike regular graphs of large degree

Random Structures & Algorithms

2023/10

See List of Professors in Mark Sellke University(Stanford University)

Co-Authors

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