Aurelie C. Lozano

发表

Multi-level Lasso for Sparse Multi-task Regression

Aurelie C. Lozano, Grzegorz Swirszcz, G. Swirszcz, 2012, ICML.

Grouped graphical Granger modeling for gene expression regulatory networks discovery

Naoki Abe, Yan Liu, Saharon Rosset, 2009, Bioinform..

Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso

Eunho Yang, Aurelie C. Lozano, Eunho Yang, 2015, NIPS.

Sparse Quantile Huber Regression for Efficient and Robust Estimation pdf

Ronny Luss, Aleksandr Y. Aravkin, Aurelie C. Lozano, 2014, ArXiv.

Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality pdf

Vikas Sindhwani, Aurelie C. Lozano, Ha Quang Minh, 2012, UAI.

Throughput scaling in wireless networks with restricted mobility

Sanjeev R. Kulkarni, Pramod Viswanath, Aurelie C. Lozano, 2004, ISIT.

Grouped graphical Granger modeling methods for temporal causal modeling

Naoki Abe, Yan Liu, Saharon Rosset, 2009, KDD.

Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion

Peder A. Olsen, Andrew R. Conn, Jialei Wang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A data modeling approach to climate change attribution

Aurelie C. Lozano, 2009, SensorKDD '09.

Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels

Vikas Sindhwani, Aurelie C. Lozano, A. Lozano, 2011, NIPS.

Practical Applications of Sparse Modeling

Guillermo A. Cecchi, Irina Rish, Aurelie C. Lozano, 2014 .

A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions

Prabhanjan Kambadur, Aurelie C. Lozano, P. Kambadur, 2013, AISTATS.

Learning Temporal Causal Graphs for Relational Time-Series Analysis

Yan Liu, Aurelie C. Lozano, Alexandru Niculescu-Mizil, 2010, ICML.

Generalized Kalman smoothing: Modeling and algorithms

Lennart Ljung, Aleksandr Y. Aravkin, James V. Burke, 2016, Autom..

Spatial-temporal causal modeling for climate change attribution

Yan Liu, Jonathan R. M. Hosking, Aurelie C. Lozano, 2009, KDD.

Temporal Graphical Models for Cross-Species Gene Regulatory Network Discovery

Yan Liu, Aurelie C. Lozano, Alexandru Niculescu-Mizil, 2011, J. Bioinform. Comput. Biol..

A Bayesian Markov-switching Model for Sparse Dynamic Network Estimation

Fei Liu, Aurelie C. Lozano, Huijing Jiang, 2012, SDM.

Stochastic Gradient Methods with Block Diagonal Matrix Adaptation pdf

Eunho Yang, Aurelie C. Lozano, Jihun Yun, 2019, ICLR 2019.

Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations

Sanjeev R. Kulkarni, Robert E. Schapire, Aurelie C. Lozano, 2005, NIPS.

Multi-class cost-sensitive boosting with p-norm loss functions

Naoki Abe, Aurelie C. Lozano, N. Abe, 2008, KDD.

A General Family of Stochastic Proximal Gradient Methods for Deep Learning pdf

Eunho Yang, Aurelie C. Lozano, Jihun Yun, 2020, ArXiv.

Group Orthogonal Matching Pursuit for Logistic Regression

Naoki Abe, Aurelie C. Lozano, Grzegorz Swirszcz, 2011, AISTATS.

Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction

Naoki Abe, Aurelie C. Lozano, Grzegorz Swirszcz, 2009, NIPS.

Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference

Vikas Sindhwani, Aurelie C. Lozano, 2010, NIPS.

Elementary Estimators for Sparse Covariance Matrices and other Structured Moments

Pradeep Ravikumar, Eunho Yang, Aurelie C. Lozano, 2014, ICML.

Robust sparse estimation of multiresponse regression and inverse covariance matrix via the L2 distance

Xinwei Deng, Aurelie C. Lozano, Huijing Jiang, 2013, KDD.

Orthogonal Matching Pursuit for Sparse Quantile Regression

Ronny Luss, Aleksandr Y. Aravkin, Prabhanjan Kambadur, 2014, 2014 IEEE International Conference on Data Mining.

How to foster innovation: A data-driven approach to measuring economic competitiveness

Lei Cao, Kush R. Varshney, Karthikeyan Natesan Ramamurthy, 2017, IBM J. Res. Dev..

An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations

Seunghak Lee, Eric P. Xing, Prabhanjan Kambadur, 2015, RECOMB.

Proximity-Based Anomaly Detection Using Sparse Structure Learning

Naoki Abe, Yan Liu, Tsuyoshi Idé, 2009, SDM.

Stable estimation of Granger-causal factors of country-level innovation

Kush R. Varshney, Aleksandra Mojsilovic, Aurelie C. Lozano, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Convergence and Consistency of Regularized Boosting With Weakly Dependent Observations

Sanjeev R. Kulkarni, Robert E. Schapire, Aurelie C. Lozano, 2014, IEEE Transactions on Information Theory.

Elementary Estimators for Graphical Models

Pradeep Ravikumar, Eunho Yang, Aurelie C. Lozano, 2014, NIPS.

Elementary Estimators for High-Dimensional Linear Regression

Pradeep Ravikumar, Eunho Yang, Aurelie C. Lozano, 2014, ICML.

Convergence and Consistency of Recursive Boosting

Sanjeev R. Kulkarni, Aurelie C. Lozano, 2006, 2006 IEEE International Symposium on Information Theory.

A graph Laplacian prior for Bayesian variable selection and grouping

Aurelie C. Lozano, Sounak Chakraborty, A. Lozano, 2019, Comput. Stat. Data Anal..

Throughput scaling in wireless networks with restricted mobility

Sanjeev R. Kulkarni, Pramod Viswanath, Aurelie C. Lozano, 2004, IEEE Transactions on Wireless Communications.

Rotation-invariant texture retrieval using steerable wavelet-domain hidden Markov models

Martin Vetterli, Aurelie C. Lozano, Minh N. Do, 2000, SPIE Optics + Photonics.

Asymptotics of boosting, greedy learning algorithms, and wireless networks

Aurelie C. Lozano, 2007 .

Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning

Eunho Yang, Peng Zheng, Aleksandr Y. Aravkin, 2019, ICML.

IBM IPAM RIPS 2010 Program Topic Detection and Causal Influence in Microblogs

Vikas Sindhwani, Aurelie C. Lozano, Prem Melville, 2010 .

Scalable Matrix-valued Kernel Learning and High-dimensional Nonlinear Causal Inference pdf

Vikas Sindhwani, Aurelie C. Lozano, Ha Quang Minh, 2012, ArXiv.

ON EXTENSIONS OF CLEVER: A NEURAL NETWORK ROBUSTNESS EVALUATION ALGORITHM

Cho-Jui Hsieh, Huan Zhang, Tsui-Wei Weng, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

A wireless network can achieve maximum throughput without each node meeting all others

Sanjeev R. Kulkarni, Aurelie C. Lozano, 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations

Seunghak Lee, Eric P. Xing, Prabhanjan Kambadur, 2015, RECOMB.

Closed-form Estimators for High-dimensional Generalized Linear Models

Pradeep Ravikumar, Eunho Yang, Aurelie C. Lozano, 2015, NIPS.

Multi-relational learning via hierarchical nonparametric Bayesian collective matrix factorization

Aurelie C. Lozano, Hongxia Yang, Hongxia Yang, 2015 .

Stability and Reproducibility in fMRI Analysis

Guillermo A. Cecchi, Irina Rish, Aurelie C. Lozano, 2014 .