Travelled to:1 × China
1 × France
1 × Israel
1 × United Kingdom
2 × USA
Collaborated with:N.Abe E.Yang P.D.Ravikumar Y.Liu G.Swirszcz A.Niculescu-Mizil H.Jiang X.Deng Y.Lu S.Rosset H.Li C.Perlich J.R.M.Hosking
Talks about:regress (3) tempor (3) causal (3) spars (3) multi (3) model (3) estim (3) elementari (2) covari (2) multirespons (1)
Person: Aurelie C. Lozano
DBLP: Lozano:Aurelie_C=
Contributed to:
2014
20132012201020092008Wrote 8 papers:
- ICML-c2-2014-YangLR #linear
- Elementary Estimators for High-Dimensional Linear Regression (EY, ACL, PDR), pp. 388–396.
- ICML-c2-2014-YangLR14a #matrix
- Elementary Estimators for Sparse Covariance Matrices and other Structured Moments (EY, ACL, PDR), pp. 397–405.
- KDD-2013-LozanoJD #distance #estimation #matrix #multi #robust
- Robust sparse estimation of multiresponse regression and inverse covariance matrix via the L2 distance (ACL, HJ, XD), pp. 293–301.
- ICML-2012-LozanoS #multi
- Multi-level Lasso for Sparse Multi-task Regression (ACL, GS), p. 80.
- ICML-2010-LiuNLL #analysis #graph #learning #relational
- Learning Temporal Causal Graphs for Relational Time-Series Analysis (YL, ANM, ACL, YL), pp. 687–694.
- KDD-2009-LozanoALR #modelling #visual notation
- Grouped graphical Granger modeling methods for temporal causal modeling (ACL, NA, YL, SR), pp. 577–586.
- KDD-2009-LozanoLNLPHA #modelling
- Spatial-temporal causal modeling for climate change attribution (ACL, HL, ANM, YL, CP, JRMH, NA), pp. 587–596.
- KDD-2008-LozanoA #multi
- Multi-class cost-sensitive boosting with p-norm loss functions (ACL, NA), pp. 506–514.