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All publications by Aurelie C. Lozano
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Closed-form Estimators for High-dimensional Generalized Linear Models
Eunho Yang, Aurelie C. Lozano and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 28, 2015


Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
Eunho Yang and Aurelie C. Lozano
Advances in Neural Information Processing Systems 28, 2015


Elementary Estimators for Graphical Models
Eunho Yang, Aurelie C. Lozano and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 27, 2014


Multi-level Lasso for Sparse Multi-task Regression
Grzegorz Swirszcz and Aurelie C. Lozano
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani and Aurelie C. Lozano
Advances in Neural Information Processing Systems 24, 2011


Group Orthogonal Matching Pursuit for Logistic Regression
Aurelie C. Lozano, Grzegorz Swirszcz and Naoki Abe
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning Temporal Causal Graphs for Relational Time-Series Analysis
Yan Liu, Alexandru Niculescu-mizil, Aurelie C. Lozano and Yong Lu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
Vikas Sindhwani and Aurelie C. Lozano
Advances in Neural Information Processing Systems 23, 2010


Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
Grzegorz Swirszcz, Naoki Abe and Aurelie C. Lozano
Advances in Neural Information Processing Systems 22, 2009


Convergence and Consistency of Regularized Boosting Algorithms with Stationary $\beta$-Mixing Observations
Sanjeev Kulkarni, Aurelie C. Lozano and Robert E. Schapire
Advances in Neural Information Processing Systems 18, 2005