Jalali, Ali

10 publications

JMLR 2014 Clustering Partially Observed Graphs via Convex Optimization Yudong Chen, Ali Jalali, Sujay Sanghavi, Huan Xu

ECML-PKDD 2013 A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization Ali Jalali, Javad Azimi, Xiaoli Z. Fern, Ruofei Zhang

ICML 2012 Clustering Using Max-Norm Constrained Optimization Ali Jalali, Nathan Srebro

AISTATS 2012 High-Dimensional Sparse Inverse Covariance Estimation Using Greedy Methods Christopher Johnson, Ali Jalali, Pradeep Ravikumar

ICML 2012 Hybrid Batch Bayesian Optimization Javad Azimi, Ali Jalali, Xiaoli Zhang Fern

ICML 2012 Learning the Dependence Graph of Time Series with Latent Factors Ali Jalali, Sujay Sanghavi

ICML 2011 Clustering Partially Observed Graphs via Convex Optimization Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu

NeurIPS 2011 On Learning Discrete Graphical Models Using Greedy Methods Ali Jalali, Christopher C. Johnson, Pradeep K. Ravikumar

AISTATS 2011 On Learning Discrete Graphical Models Using Group-Sparse Regularization Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki, Sujay Sanghavi

NeurIPS 2010 A Dirty Model for Multi-Task Learning Ali Jalali, Sujay Sanghavi, Chao Ruan, Pradeep K. Ravikumar