Variable-selection emerges on top in empirical comparison of whole-genome complex-trait prediction methods
- David Haws
- Irina Rish
- et al.
- 2015
- PLoS ONE
Aurelie Lozano
Title
Senior Research Scientist
Bio
Aurélie Lozano is a Senior Research Scientist at the IBM T.J. Watson Research Center.
She received the M.S./Dipl.Ing. degree in Communication Systems from the Swiss Federal Institute of Technology Lausanne (EPFL) in 2001, and the M.A. and Ph.D. degrees in Electrical Engineering from Princeton University respectively in 2004 and 2007.
Her research interests include machine learning, statistics and optimization. Her current focus is on deep learning, high dimensional data analysis and predictive modeling, with applications including biology, environmental sciences, business and infrastructure analytics, and social media analytics.
Selected Honors and Awards:
- Gordon Wu Fellowship, Princeton University
- Best paper award, Conference on Uncertainty in Articificial Intelligence (UAI) 2013
- IBM Research Pat Goldberg Memorial best paper award, 2013.
- Highlighted Area Chair, ICLR 2022
Conference Area Chair: NIPS 2014, ICML 2015, NIPS 2015, AISTAT 2017, NIPS 2018, NeurIPS 2020, UAI 2020, IJCAI 2020, ICLR 2021, UAI 2021, NeurIPS 2021, ICML 2021, ICLR 2022, NeurIPS 2022, ICLR 2023, NeurIPS 2023, ICML 2023
Conference Local Committee: ICML 2016
Publications
Orthogonal Matching Pursuit for Sparse Quantile Regression
- Aleksandr Aravkin
- Aurelie Lozano
- et al.
- 2014
- ICDM 2014
Elementary estimators for graphical models
- Eunho Yang
- Aurélie C. Lozano
- et al.
- 2014
- NeurIPS 2014
Elementary estimators for sparse covariance matrices and other structured moments
- Eunho Yang
- Aurelie C. Lozano
- et al.
- 2014
- ICML 2014
Elementary estimators for high-dimensional linear regression
- Eunho Yang
- Aurelie C. Lozano
- et al.
- 2014
- ICML 2014
Bayesian regularization via graph Laplacian
- Fei Liu
- Sounak Chakraborty
- et al.
- 2014
- Bayesian Analysis
Convergence and consistency of regularized boosting with weakly dependent observations
- Aurelie C. Lozano
- Sanjeev R. Kulkarni
- et al.
- 2014
- IEEE Trans. Inf. Theory
Scalable matrix-valued kernel learning for high-dimensional nonlinear multivariate regression and granger causality
- Vikas Sindhwani
- Hà Quang Minh
- et al.
- 2013
- UAI 2013
Robust sparse estimation of multiresponse regression and inverse covariance matrix via the L2 distance
- Aurélie C. Lozano
- Huijing Jiang
- et al.
- 2013
- KDD 2013
A parallel, block greedy method for sparse inverse covariance estimation for ultra-high dimensions
- Prabhanjan Kambadur
- Aurélie Lozano
- 2013
- JMLR
Patents
- US
- 11860720
- US
- 10360527
- US
- 8645304
- US
- 8626680
- US
- 8543533
- US
- 8275721
- US
- 8255346
Top collaborators
PD
Payel Das
Principal Research Scientist and Manager, IBM Research AI
SC
Subhajit Chaudhury
Senior Research Scientist
II
Tsuyoshi "Ide-san" Ide
Head of Data Science, IBM Semiconductors
PC
Pin-Yu Chen
Principal Research Scientist; Chief Scientist, RPI-IBM AI Research Collaboration