Publications (39)
Expectation-Propogation for the Generative Aspect Model
Thomas P. Minka, John Lafferty
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
John Lafferty, Larry A. Wasserman
Testing for Global Network Structure Using Small Subgraph Statistics
Chao Gao, John Lafferty
Rodeo: Sparse, greedy nonparametric regression
John Lafferty, Larry Wasserman
Quantized Nonparametric Estimation over Sobolev Ellipsoids
Yuancheng Zhu, John Lafferty
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Michihiro Yasunaga, John Lafferty
Testing Network Structure Using Relations Between Small Subgraph Probabilities
Chao Gao, John Lafferty
Sparse Nonparametric Graphical Models
John Lafferty, Han Liu, Larry Wasserman
Adaptive Risk Bounds in Unimodal Regression
Sabyasachi Chatterjee, John Lafferty
Forest Density Estimation
Han Liu, Min Xu, Haijie Gu +3
Rodeo: Sparse Nonparametric Regression in High Dimensions
John Lafferty, Larry Wasserman
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
Qinqing Zheng, John Lafferty
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
Han Liu, John Lafferty, Larry Wasserman
Distributed Nonparametric Regression under Communication Constraints
Yuancheng Zhu, John Lafferty
Fair quantile regression
Dana Yang, John Lafferty, David Pollard
Selective Inference for Group-Sparse Linear Models
Fan Yang, Rina Foygel Barber, Prateek Jain +1
A Robust Parsing Algorithm For Link Grammars
Dennis Grinberg, John Lafferty, Daniel Sleator
Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent
Qinqing Zheng, John Lafferty
Prediction Rule Reshaping
Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber +1
A Model of Lexical Attraction and Repulsion
Doug Beeferman, Adam Berger, John Lafferty
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
Yuancheng Zhu, John Lafferty
Local Minimax Complexity of Stochastic Convex Optimization
Yuancheng Zhu, Sabyasachi Chatterjee, John Duchi +1
Sparse Additive Functional and Kernel CCA
Sivaraman Balakrishnan, Kriti Puniyani, John Lafferty
Surfing: Iterative optimization over incrementally trained deep networks
Ganlin Song, Zhou Fan, John Lafferty
Faithful Variable Screening for High-Dimensional Convex Regression
Min Xu, Minhua Chen, John Lafferty
Compressed Regression
Shuheng Zhou, John Lafferty, Larry Wasserman
Nonparametric Reduced Rank Regression
Rina Foygel, Michael Horrell, Mathias Drton +1
The Nonparanormal SKEPTIC
Han Liu, Fang Han, Ming Yuan +2
Conditional Sparse Coding and Grouped Multivariate Regression
Min Xu, John Lafferty
Sparse Additive Models
Pradeep Ravikumar, John Lafferty, Han Liu +1
Sequential Nonparametric Regression
Haijie Gu, John Lafferty
Denoising Flows on Trees
Sabyasachi Chatterjee, John Lafferty
Variational Chernoff Bounds for Graphical Models
Pradeep Ravikumar, John Lafferty
Union Support Recovery in Multi-task Learning
Mladen Kolar, John Lafferty, Larry Wasserman
Graph-Valued Regression
Han Liu, Xi Chen, John Lafferty +1
Time Varying Undirected Graphs
Shuheng Zhou, John Lafferty, Larry Wasserman
Text Segmentation Using Exponential Models
Doug Beeferman, Adam Berger, John Lafferty
Towards History-based Grammars: Using Richer Models for Probabilistic Parsing
Ezra Black, Fred Jelinek, John Lafferty +3
High Dimensional Semiparametric Gaussian Copula Graphical Models
Han Liu, Fang Han, Ming Yuan +2