Concepedia

Daniel Hsu

DH

Statistics

Publications

105

Citations

10.1K

H-Index

49

Active since

2001

Affiliations

Columbia University(Current)

Microsoft (United States)

Rutgers, The State University of New Jersey

University of California San Diego

Microsoft Research (United Kingdom)

Daniel Hsu is an author at Columbia University specializing in computer science, computing, and machine learning.

Publications per year

2001–2023

105

Publications

105

Reconciling modern machine-learning practice and the classical bias–variance trade-off

Mikhail Belkin, Daniel Hsu, Siyuan Ma et al. · Proceedings of the National Academy of Sciences · 2019 · 1.5K citations · Full text

Computing, Computer Science, Mathematics +11

Tensor decompositions for learning latent variable models

Animashree Anandkumar, Rong Ge, Daniel Hsu et al. · CaltechAUTHORS (California Institute of Technology) · 2014 · 818 citations

Computing, Computer Science, Machine Learning +16

Hierarchical sampling for active learning

Sanjoy Dasgupta, Daniel Hsu · 2008 · 458 citations

Computing, Computer Science, Data Mining +9

Competitive learning with floating-gate circuits

Daniel Hsu, Miguel Figueroa, C. Diorio · IEEE Transactions on Neural Networks · 2002 · 379 citations

Computing, Computer Engineering, Computer Science +13

Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits

Alekh Agarwal, Daniel Hsu, Satyen Kale et al. · arXiv (Cornell University) · 2014 · 315 citations · Full text

Computing, Computer Science, Algorithms +12

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