Concepedia

Mark Sellke

MS

Statistics

Publications

10

Citations

314

H-Index

10

Active since

2017

Affiliations

Stanford University(Current)

Cornell University

Microsoft (United States)

Harvard University

Mark Sellke is an author at Stanford University specializing in engineering, physics, and computational complexity.

Top concepts

EngineeringPhysicsComputational ComplexityMagnetismProbabilityComputer ScienceMagnetic ResonanceDiscrete MathematicsMathematical ProgrammingCombinatorial Optimization

Publications per year

2017–2024

10

Publications

10

Approximating Continuous Functions by ReLU Nets of Minimal Width

Boris Hanin, Mark Sellke · arXiv (Cornell University) · 2017 · 142 citations · Full text

Mathematical Programming, Layer Widths, Neural Scaling Law +14

Competitively chasing convex bodies

Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li et al. · 2019 · 28 citations · Full text

Mathematical Programming, Engineering, Geometry +17

Sampling from the Sherrington-Kirkpatrick Gibbs measure via algorithmic stochastic localization

A. El Alaoui, Andrea Montanari, Mark Sellke · 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS) · 2022 · 27 citations

Optimization of mean-field spin glasses

A. El Alaoui, Andrea Montanari, Mark Sellke · The Annals of Probability · 2021 · 26 citations · Full text

Magnetism, Spintronics, Centered Gaussian Process +15

Exact minimum number of bits to stabilize a linear system

Victoria Kostina, Yuval Peres, Gireeja Ranade et al. · 2018 · 19 citations

Engineering, System Gain, Computational Complexity +16

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