← Authors

John Lafferty

17 papers · 2005–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (20) 🐝 Cross-Pollinator (12) πŸ”₯ Unstoppable (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (17) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (91)

Conferences

NIPS (6) ICML (5) JMLR (5) ICLR (1)

Top co-authors

Larry Wasserman (4) Han Liu (3) Yuancheng Zhu (3) sabyasachi chatterjee (2) Awni Altabaa (2) Rina Foygel Barber (2) Tuo Zhao (1) Kathryn Roeder (1) Fan Yang (1) John C. Duchi (1)

Research topics

Statistics (1)

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