John Lafferty
17 papers · 2005–2025 · 4 conferences · across top CS/AI conferences
Achievements
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Academic Marathon
(20)
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Cross-Pollinator
(12)
π₯
Unstoppable
(6)
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Conference Pioneer
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Century Club
(17)
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ποΈ
Keyword Collector
(91)
Conferences
NIPS (6)
ICML (5)
JMLR (5)
ICLR (1)
Top co-authors
Research topics
Keywords
graphical lasso
(3)
graphical model
(3)
convex optimization
(2)
gradient descent
(2)
gaussian graphical model
(2)
variable selection
(2)
sparse regression
(2)
ridge regression
(1)
multi-task learning
(1)
stochastic optimization
(1)
density estimation
(1)
feature selection
(1)
compressive sensing
(1)
sample complexity
(1)
gaussian process
(1)
stochastic gradient descent
(1)
group lasso
(1)
computational efficiency
(1)
semidefinite programming
(1)
neural network optimization
(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
NIPS 2019
Prediction Rule Reshaping
ICML 2018
Distributed Nonparametric Regression under Communication Constraints
ICML 2018
Selective inference for group-sparse linear models
NIPS 2016
Local Minimax Complexity of Stochastic Convex Optimization
NIPS 2016
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
NIPS 2015
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
NIPS 2014
Blossom Tree Graphical Models
NIPS 2014
The Bigraphical Lasso
ICML 2013
Computation-Risk Tradeoffs for Covariance-Thresholded Regression
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