← Authors

Trevor J. Hastie

5 papers · 2006–2022 · 2 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (2) πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (16) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Conferences

NIPS (3) JMLR (2)

Top co-authors

Ping Li (4) Kenneth W. Church (3) Lukasz Kidzinski (1) David I. Warton (1) Francis K.C. Hui (1)

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