John Lafferty
18 papers · 1999–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(107)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(17)
Optimization & Theory Β· Machine Learning
(12)
Core Methods
(10)
Mathematics & Optimization
(7)
Mathematics
(4)
Deep Learning
(3)
Optimization
(3)
Artificial Intelligence
(2)
Architectures
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Learning Types
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core AI
(1)
Optimization & Theory Β· Deep Learning
(1)
Statistics
(1)
Keywords
graphical model
(4)
graphical lasso
(3)
relational reasoning
(2)
communication constraint
(2)
gradient descent
(2)
convex optimization
(2)
gaussian graphical model
(2)
variable selection
(2)
sparse regression
(2)
sample efficiency
(1)
feature extraction
(1)
stochastic gradient descent
(1)
compressive sensing
(1)
density estimation
(1)
stochastic optimization
(1)
semidefinite programming
(1)
distributed learning
(1)
probabilistic modeling
(1)
compressed sensing
(1)
sample complexity
(1)
Papers
Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
ICML 2025
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
ICLR 2024
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks
NeurIPS 2019
Distributed Nonparametric Regression under Communication Constraints
ICML 2018
Prediction Rule Reshaping
ICML 2018
Local Minimax Complexity of Stochastic Convex Optimization
NeurIPS 2016
Selective inference for group-sparse linear models
NeurIPS 2016
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
NeurIPS 2015
Blossom Tree Graphical Models
NeurIPS 2014
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
NeurIPS 2014
Computation-Risk Tradeoffs for Covariance-Thresholded Regression
ICML 2013
The Bigraphical Lasso
ICML 2013
The huge Package for High-dimensional Undirected Graph Estimation in R
JMLR 2012
Forest Density Estimation
JMLR 2011
Union Support Recovery in Multi-task Learning
JMLR 2011
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
JMLR 2009
Diffusion Kernels on Statistical Manifolds
JMLR 2005
Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo
AISTATS 1999