Trevor J. Hastie
5 papers · 2006–2022 · 2 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (16) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Cross-Pollinator (12)
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Interdisciplinary Bridge
π§
Keyword Pioneer
π±
Topic Pioneer
π
Keyword Champion
(2)
π
Conference Pioneer
π
Trend Setter
Conferences
NIPS (3)
JMLR (2)
Top co-authors
Keywords
dimension reduction
(3)
random projection
(3)
random sampling
(2)
sparse datum
(2)
compressive sensing
(1)
stable random projections
(1)
distance estimation
(1)
near-optimal estimator
(1)
cramΓ©r-rao bound
(1)
asymptotic variance
(1)
distance computation
(1)
sparse data
(1)
conditional random sampling
(1)
cramer-rao bound
(1)
cauchy random projections
(1)
latent variable model
(1)
distance metric
(1)
generalized linear model
(1)
high-dimensional datum
(1)
stochastic method
(1)
Papers
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays
JMLR 2022
One sketch for all: Theory and Application of Conditional Random Sampling
NIPS 2008
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections
NIPS 2007
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections
JMLR 2007
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
NIPS 2006