Aurelie Lozano
Aurelie Lozano
Research Staff Member, IBM Research
Verified email at us.ibm.com
TitleCited byYear
Grouped graphical Granger modeling for gene expression regulatory networks discovery
AC Lozano, N Abe, Y Liu, S Rosset
Bioinformatics 25 (12), i110-i118, 2009
1432009
Spatial-temporal causal modeling for climate change attribution
AC Lozano, H Li, A Niculescu-Mizil, Y Liu, C Perlich, J Hosking, N Abe
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
982009
Grouped orthogonal matching pursuit for variable selection and prediction
G Swirszcz, N Abe, AC Lozano
Advances in Neural Information Processing Systems, 1150-1158, 2009
922009
Multi-level lasso for sparse multi-task regression
AC Lozano, G Swirszcz
Proceedings of the 29th International Coference on International Conference …, 2012
59*2012
Proximity-based anomaly detection using sparse structure learning
T Idé, AC Lozano, N Abe, Y Liu
Proceedings of the 2009 SIAM international conference on data mining, 97-108, 2009
532009
Learning temporal causal graphs for relational time-series analysis
Y Liu, A Niculescu-Mizil, AC Lozano, Y Lu
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
502010
Convergence and consistency of regularized boosting algorithms with stationary b-mixing observations
AC Lozano, SR Kulkarni, RE Schapire
Advances in neural information processing systems, 819-826, 2006
442006
Group orthogonal matching pursuit for logistic regression
A Lozano, G Swirszcz, N Abe
Proceedings of the Fourteenth International Conference on Artificial …, 2011
402011
Multi-class cost-sensitive boosting with p-norm loss functions
AC Lozano, N Abe
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
382008
Methods and systems for variable group selection and temporal causal modeling
N Abe, Y Liu, AC Lozano, S Rosset, G Swirszcz
US Patent 8,255,346, 2012
372012
Scalable matrix-valued kernel learning for high-dimensional nonlinear multivariate regression and granger causality
V Sindhwani, MH Quang, AC Lozano
arXiv preprint arXiv:1210.4792, 2012
352012
Grouped graphical Granger modeling methods for temporal causal modeling
AC Lozano, N Abe, Y Liu, S Rosset
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
352009
Generalized Kalman smoothing: Modeling and algorithms
A Aravkin, JV Burke, L Ljung, A Lozano, G Pillonetto
Automatica 86, 63-86, 2017
272017
Elementary estimators for high-dimensional linear regression
E Yang, A Lozano, P Ravikumar
International Conference on Machine Learning, 388-396, 2014
262014
Stratification of TAD boundaries reveals preferential insulation of super-enhancers by strong boundaries
Y Gong, C Lazaris, T Sakellaropoulos, A Lozano, P Kambadur, ...
Nature communications 9 (1), 542, 2018
222018
Elementary estimators for graphical models
E Yang, AC Lozano, PK Ravikumar
Advances in neural information processing systems, 2159-2167, 2014
202014
Non-parametric group orthogonal matching pursuit for sparse learning with multiple kernels
V Sindhwani, AC Lozano
Advances in Neural Information Processing Systems, 2519-2527, 2011
202011
Causal modeling of multi-dimensional hierachical metric cubes
N Abe, J Fu, MG Gemmell, S Kapoor, FS Kelly, DM Loehr, AC Lozano, ...
US Patent App. 12/943,316, 2012
192012
Bayesian regularization via graph Laplacian
F Liu, S Chakraborty, F Li, Y Liu, AC Lozano
Bayesian Analysis 9 (2), 449-474, 2014
182014
Block variable selection in multivariate regression and high-dimensional causal inference
V Sindhwani, AC Lozano
Advances in Neural Information Processing Systems, 1486-1494, 2010
172010
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