John D. Lafferty
11 papers · 2006–2021 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Champion
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(5)
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(89)
π
Trend Setter
π
Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory Β· Machine Learning
(8)
Core Methods
(7)
Mathematics & Optimization
(6)
Learning Types Β· Machine Learning
(5)
Deep Learning
(4)
Mathematics
(4)
Optimization
(4)
Bayesian & Probabilistic
(3)
Artificial Intelligence
(2)
Interdisciplinary
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Science
(2)
Healthcare & Medicine
(1)
Keywords
nonparametric regression
(3)
additive model
(3)
graphical model
(3)
oracle inequality
(2)
sparse optimization
(2)
statistical analysis
(2)
sparse model
(2)
markov random field
(2)
high-dimensional regression
(2)
sparse additive model
(2)
l1 regularization
(2)
oracle inequalities
(1)
feature selection
(1)
convergence analysis
(1)
structure learning
(1)
graph laplacian
(1)
dimensionality reduction
(1)
semi-supervised regression
(1)
mutual information
(1)
density estimation
(1)
Papers
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
NeurIPS 2021
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
AAAI 2019
Exponential Concentration for Mutual Information Estimation with Application to Forests
NeurIPS 2012
Nonparametric Reduced Rank Regression
NeurIPS 2012
Graph-Valued Regression
NeurIPS 2010
Nonparametric regression and classification with joint sparsity constraints
NeurIPS 2008
Compressed Regression
NeurIPS 2007
Computationally Efficient M-Estimation of Log-Linear Structure Models
ACL 2007
SpAM: Sparse Additive Models
NeurIPS 2007
Statistical Analysis of Semi-Supervised Regression
NeurIPS 2007
High-Dimensional Graphical Model Selection Using β_1-Regularized Logistic Regression
NeurIPS 2006