Trevor Hastie
13 papers · 2004–2022 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (4) 🏃 Academic Marathon (18) 🌉 Interdisciplinary Bridge
🐝
Cross-Pollinator
(12)
🌉
Interdisciplinary Bridge
🌟
Keyword Trendsetter Combo
(4)
🗃️
Keyword Collector
(53)
💎
Century Club
(13)
📈
Trend Setter
Conferences
JMLR (9)
AISTATS (2)
ACL (1)
NIPS (1)
Top co-authors
Keywords
feature selection
(4)
support vector machine
(3)
convex optimization
(3)
matrix completion
(2)
dictionary learning
(2)
unsupervised learning
(2)
nuclear norm
(2)
low-rank approximation
(1)
text mining
(1)
statistical modeling
(1)
collaborative filtering
(1)
unsupervised feature learning
(1)
kernel smoothing
(1)
text categorization
(1)
model selection
(1)
singular value decomposition
(1)
spectral regularization
(1)
structure learning
(1)
gradient boosting
(1)
nonparametric estimation
(1)
Papers
LinCDE: Conditional Density Estimation via Lindsey's Method
JMLR 2022
Saturating Splines and Feature Selection
JMLR 2018
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
JMLR 2015
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
JMLR 2014
An Efficient Algorithm for Large Scale Compressive Feature Learning
AISTATS 2014
Compressive Feature Learning
NIPS 2013
Structure Learning of Mixed Graphical Models
AISTATS 2013
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
JMLR 2012
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
JMLR 2010
Margin Trees for High-dimensional Classification
JMLR 2007
The Entire Regularization Path for the Support Vector Machine
JMLR 2004
Boosting as a Regularized Path to a Maximum Margin Classifier
JMLR 2004
The Sentimental Factor: Improving Review Classification Via Human-Provided Information
ACL 2004