Concepedia

Samuel B. Hopkins

SB

24

Publications

782

Citations

15

H-Index

2001

Active since

Affiliations

University of California, Berkeley(Current)

Cornell University

Massachusetts Institute of Technology

The University of Texas at Austin

Berkeley College

Samuel B. Hopkins is an author at University of California, Berkeley specializing in engineering, statistical inference, and computer science.

Top concepts

EngineeringComputer ScienceStatistical InferenceStatisticsData ScienceComputational ComplexityMachine LearningSignal ProcessingMathematical ProgrammingGraph Theory

Publications per year

2001–2024

24

Publications

24

Mixture models, robustness, and sum of squares proofs

Samuel B. Hopkins, Jerry Li · 2018 · 110 citations · Full text

Source Separation, Mixture Distribution, Engineering +12

Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors

Samuel B. Hopkins, Tselil Schramm, Jonathan Shi et al. · 2016 · 107 citations

Mathematical Programming, Spectral Theory, Graph Sparsity +19

Efficient Bayesian Estimation from Few Samples: Community Detection and Related Problems

Samuel B. Hopkins, David Steurer · 2017 · 94 citations

Graph Sparsity, Engineering, Community Mining +21

Tensor principal component analysis via sum-of-square proofs.

Samuel B. Hopkins, Jonathan Shi, David Steurer · Conference on Learning Theory · 2015 · 93 citations

Spectral Theory, Sparse Representation, Random Noise Tensor +13

Tensor principal component analysis via sum-of-squares proofs

Samuel B. Hopkins, Jonathan Shi, David Steurer · arXiv (Cornell University) · 2015 · 50 citations · Full text

Rows per page

1–5 of 24