Feynman T Liang
4 papers · 2016–2023 · 1 conference · across top CS/AI conferences
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Conferences
NIPS (4)
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Keywords
dimensionality reduction
(1)
double descent
(1)
stochastic gradient descent
(1)
variational inference
(1)
distributed learning
(1)
low-rank approximation
(1)
parallel computing
(1)
gradient boosting
(1)
linear regression
(1)
spectral analysis
(1)
probabilistic programming
(1)
matrix sketching
(1)
tree ensemble
(1)
random projection
(1)
heavy-tailed distribution
(1)
implicit regularization
(1)
model training
(1)
decision tree
(1)
random matrix
(1)
ridge regularization
(1)
Papers
A Heavy-Tailed Algebra for Probabilistic Programming
NIPS 2023
Exact expressions for double descent and implicit regularization via surrogate random design
NIPS 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton
NIPS 2020
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale
NIPS 2016