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Showing results 1 to 8 of 8

1
Closed-form Estimators for High-dimensional Generalised Linear Models

Yang, Eunho; Lozano, Aurelie; Ravikumar, Pradeep, Advances in Neural Information Processing Systems (NIPS) 28, Neural Information Processing Systems Foundation, 2015-12-07

2
Elementary Estimators for Graphical Models

Yang, Eunho; Lozano, Aurelie; Ravikumar, Pradeep, Advances in Neural Information Processing Systems (NIPS) 27, Neural Information Processing Systems Foundation, 2014-12-08

3
Elementary Estimators For High-dimensional Linear Regression

Yang, Eunho; Lozano, Aurelie; Ravikumar, Pradeep, International Conference on Machine learning (ICML) 31, International Machine Learning Society (IMLS), 2014-06-21

4
Elementary Estimators for Sparse Covariance Matrices and Other Structured Moments

Yang, Eunho; Lozano, Aurelie; Ravikumar, Pradeep, International Conference on Machine learning (ICML) 31, International Machine Learning Society (IMLS), 2014-06-21

5
Learning Task Structure Via Sparsity Grouped Multitask Learning

Kshirsagar, Meghana; Yang, Eunho; Lozano, Aurelie, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2017-09-19

6
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso

Yang, Eunho; Lozano, Aurelie, Advances in Neural Information Processing Systems (NIPS) 28, Neural Information Processing Systems Foundation, 2015-12-07

7
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity.

Yang, Eunho; Lozano, Aurelie, International Conference on Machine Learning (ICML) 34, International Machine Learning Society (IMLS), 2017-08-06

8
Trimming the l-1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning

Yun, Jihun; Zheng, Peng; Yang, Eunho; Lozano, Aurelie; Aravkin Aleksandr, Thirty-sixth International Conference on Machine Learning, ICML, 2019-06-10

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