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
1612009
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
1132009
Grouped orthogonal matching pursuit for variable selection and prediction
G Swirszcz, N Abe, AC Lozano
Advances in Neural Information Processing Systems, 1150-1158, 2009
1052009
Multi-level lasso for sparse multi-task regression
AC Lozano, G Swirszcz
Proceedings of the 29th International Coference on International Conference …, 2012
74*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
652009
Learning temporal causal graphs for relational time-series analysis
Y Liu, A Niculescu-Mizil, AC Lozano, Y Lu
ICML, 2010
572010
Generalized Kalman smoothing: Modeling and algorithms
A Aravkin, JV Burke, L Ljung, A Lozano, G Pillonetto
Automatica 86, 63-86, 2017
492017
Convergence and consistency of regularized boosting algorithms with stationary b-mixing observations
AC Lozano, S Kulkarni, RE Schapire
Advances in neural information processing systems 18, 819-826, 2005
482005
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
452018
Group orthogonal matching pursuit for logistic regression
A Lozano, G Swirszcz, N Abe
Proceedings of the fourteenth international conference on artificial …, 2011
442011
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
442008
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
402012
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
392009
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
382012
Elementary estimators for high-dimensional linear regression
E Yang, A Lozano, P Ravikumar
International Conference on Machine Learning, 388-396, 2014
312014
Elementary estimators for graphical models
E Yang, AC Lozano, PK Ravikumar
Advances in neural information processing systems, 2159-2167, 2014
262014
Bayesian regularization via graph Laplacian
F Liu, S Chakraborty, F Li, Y Liu, AC Lozano
Bayesian Analysis 9 (2), 449-474, 2014
242014
Robust gaussian graphical modeling with the trimmed graphical lasso
E Yang, AC Lozano
Advances in Neural Information Processing Systems, 2602-2610, 2015
232015
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
212011
Minimum distance lasso for robust high-dimensional regression
AC Lozano, N Meinshausen, E Yang
Electronic Journal of Statistics 10 (1), 1296-1340, 2016
202016
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