Aurelie Lozano
Aurelie Lozano
Research Staff Member, IBM Research
Verified email at us.ibm.com
Title
Cited by
Cited by
Year
Grouped graphical Granger modeling for gene expression regulatory networks discovery
AC Lozano, N Abe, Y Liu, S Rosset
Bioinformatics 25 (12), i110-i118, 2009
1702009
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
1212009
Grouped orthogonal matching pursuit for variable selection and prediction
G Swirszcz, N Abe, AC Lozano
Advances in Neural Information Processing Systems 22, 1150-1158, 2009
1122009
Multi-level lasso for sparse multi-task regression
AC Lozano, G Swirszcz
Proceedings of the 29th International Coference on International Conference …, 2012
86*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
732009
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), 1-12, 2018
652018
Generalized Kalman smoothing: Modeling and algorithms
A Aravkin, JV Burke, L Ljung, A Lozano, G Pillonetto
Automatica 86, 63-86, 2017
622017
Learning temporal causal graphs for relational time-series analysis
Y Liu, A Niculescu-Mizil, AC Lozano, Y Lu
ICML, 2010
602010
Group orthogonal matching pursuit for logistic regression
A Lozano, G Swirszcz, N Abe
Proceedings of the fourteenth international conference on artificial …, 2011
512011
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
502008
Convergence and consistency of regularized boosting algorithms with stationary beta-mixing observations
A Lozano, S Kulkarni, R Schapire
Advances in neural information processing systems 18, 819, 2006
492006
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
482012
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
482009
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
422012
Elementary estimators for high-dimensional linear regression
E Yang, A Lozano, P Ravikumar
International Conference on Machine Learning, 388-396, 2014
362014
Casual modeling of multi-dimensional hierarchical metric cubes
N Abe, J Fu, MG Gemmell, S Kapoor, FS Kelly, DM Loehr, AC Lozano, ...
US Patent 10,360,527, 2019
312019
Elementary estimators for graphical models
E Yang, AC Lozano, PK Ravikumar
Advances in neural information processing systems, 2159-2167, 2014
302014
Bayesian regularization via graph Laplacian
F Liu, S Chakraborty, F Li, Y Liu, AC Lozano
Bayesian Analysis 9 (2), 449-474, 2014
272014
Robust gaussian graphical modeling with the trimmed graphical lasso
E Yang, AC Lozano
Advances in Neural Information Processing Systems, 2602-2610, 2015
242015
A general family of trimmed estimators for robust high-dimensional data analysis
E Yang, AC Lozano, A Aravkin
Electronic Journal of Statistics 12 (2), 3519-3553, 2018
212018
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