Segui
Aurelie Lozano
Aurelie Lozano
Senior Research Scientist, IBM Research
Email verificata su us.ibm.com
Titolo
Citata da
Citata da
Anno
Protein representation learning by geometric structure pretraining
Z Zhang, M Xu, A Jamasb, V Chenthamarakshan, A Lozano, P Das, ...
arXiv preprint arXiv:2203.06125, 2022
2172022
Grouped graphical Granger modeling for gene expression regulatory networks discovery
AC Lozano, N Abe, Y Liu, S Rosset
Bioinformatics 25 (12), i110-i118, 2009
2102009
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
1552018
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
1502009
Generalized Kalman smoothing: Modeling and algorithms
A Aravkin, JV Burke, L Ljung, A Lozano, G Pillonetto
Automatica 86, 63-86, 2017
1342017
Grouped orthogonal matching pursuit for variable selection and prediction
G Swirszcz, N Abe, AC Lozano
Advances in Neural Information Processing Systems 22, 2009
1342009
Multi-level lasso for sparse multi-task regression
AC Lozano, G Swirszcz
Proceedings of the 29th International Coference on International Conference …, 2012
114*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
972009
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
852019
Group orthogonal matching pursuit for logistic regression
A Lozano, G Swirszcz, N Abe
Proceedings of the fourteenth international conference on artificial …, 2011
772011
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
722010
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
632009
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
592012
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, 2005
562005
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
542012
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
512008
Bayesian regularization via graph Laplacian
F Liu, S Chakraborty, F Li, Y Liu, AC Lozano
452014
Elementary estimators for high-dimensional linear regression
E Yang, A Lozano, P Ravikumar
International Conference on Machine Learning, 388-396, 2014
412014
Directed graph auto-encoders
G Kollias, V Kalantzis, T Idé, A Lozano, N Abe
Proceedings of the AAAI conference on artificial intelligence 36 (7), 7211-7219, 2022
372022
A general family of trimmed estimators for robust high-dimensional data analysis
E Yang, AC Lozano, A Aravkin
372018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20