Publications

2022

2021

Two-sample inference for high-dimensional Markov networks

Journal of the Royal Statistical Society. Series B. Statistical Methodology 83(5)

2020

2019

Partially Linear Additive Gaussian Graphical Models

Proceedings of the 36th International Conference on Machine Learning
Learning Influence-Receptivity Network Structure with Guarantee

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics

2018

2017

Efficient Distributed Learning with Sparsity

Proceedings of the 34th International Conference on Machine Learning

2016

Distributed Multi-Task Learning

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics
Inference for High-dimensional Exponential Family Graphical Models

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics

2015

2014

2013

Feature Selection in High-Dimensional Classification

Proceedings of the 30th International Conference on Machine Learning
Markov Network Estimation From Multi-attribute Data

Proceedings of the 30th International Conference on Machine Learning

2012

Consistent Covariance Selection From Data With Missing Values

Proceedings of the 29th International Conference on Machine Learning
Variance Function Estimation in High-dimensions

Proceedings of the 29th International Conference on Machine Learning
Marginal Regression For Multitask Learning

Proceedings of the 15th International Conference on Artificial Intelligence and Statistics

2011

On Time Varying Undirected Graphs

Proceedings of the 14th International Conference on Artificial Intelligence and Statistics

2010

2009

2008

2006

2005