Concepedia

Feynman Liang

FL

4

Publications

146

Citations

4

H-Index

2016

Active since

Affiliations

University of California, Berkeley(Current)

Feynman Liang is an author at University of California, Berkeley specializing in engineering, deep learning, and computer science.

Top concepts

EngineeringData ScienceDeep LearningComputer ScienceMachine LearningStatisticsInverse ProblemsSupervised LearningApproximation TheoryStatistical Inference

Publications per year

2016–2020

4

Publications

4

Automatic Stylistic Composition Of Bach Chorales With Deep Lstm.

Feynman Liang, Mark Gotham, Matthew Johnson et al. · Durham Research Online (Durham University) · 2017 · 82 citations · Full text

Exact expressions for double descent and implicit regularization via surrogate random design

Michał Dereziński, Feynman Liang, Michael W. Mahoney · arXiv (Cornell University) · 2019 · 33 citations · Full text

Mathematical Programming, Engineering, Machine Learning +19

Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale

Firas Abuzaid, Joseph K. Bradley, Feynman Liang et al. · Neural Information Processing Systems · 2016 · 19 citations

Artificial Intelligence, Cluster Computing, Engineering +22

Exact expressions for double descent and implicit regularization via surrogate random design

Michał Dereziński, Feynman Liang, Michael W. Mahoney · Neural Information Processing Systems · 2020 · 12 citations

Mathematical Programming, Engineering, Machine Learning +19

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