ALL CONFERENCE JOURNAL ETC

J. Heo, J. Park, H. Jeong, K. Kim, J. Lee, E. Yang and S. Hwang
In International Conference on Machine Learning (ICML), 2020

D. Na, H. Lee, H. Lee, S. Kim, M. Park, E. Yang and S. Hwang
International Conference on Learning Representations (ICLR), 2020

J. Yoon, S. Kim, E. Yang and S. Hwang
International Conference on Learning Representations (ICLR), 2020

H. Lee, T. Nam, E. Yang and S. Hwang
International Conference on Learning Representations (ICLR), 2020

J. Yi, J. Lee, S. Hwang, K. Kim and E. Yang
International Conference on Learning Representations (ICLR), 2020

I. Chung, S. Kim, J. Lee, K. Kim, S. Hwang and E. Yang
In Association for the Advancement of Artificial Intelligence (AAAI), 2020

J. Yun, J. Lee, S. Hwang and E. Yang
arXiv preprint arXiv:1911.12990, 2019

S. Kim, Y. Baek, S. Hwang and E. Yang
arXiv preprint arXiv:1906.03118, 2019

J. Yun, A. Lozano and E. Yang
arXiv preprint arXiv:1905.10757, 2019

Trimming the l-1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
J. Yun, P. Zheng, A. Lozano, A. Aravkin and E. Yang
In International Conference on Machine Learning (ICML) 36, 2019
Full oral, 159/3424=4.64%

Spectral Approximate Inference
S. Park, E Yang, S Yun and J. Shin
In International Conference on Machine Learning (ICML) 36, 2019

Y. Liu, J. Lee, M. Park, S. Kim, E. Yang, S. Hwang and Y. Yang
International Conference on Learning Representations (ICLR), 2019

H. Lee, J. Lee, S. Kim, E. Yang and S. Hwang
In Advances in Neural Information Processing Systems (NeurIPS) 32, 2018

H. Shim, S. Hwang and E. Yang
In Advances in Neural Information Processing Systems (NeurIPS) 32, 2018

J. Heo, H. Lee, S. Kim, J. Lee, K. Kim, E. Yang and S. Hwang
In Advances in Neural Information Processing Systems (NeurIPS) 32, 2018

General Family of Trimmed Estimators for Robust High-dimensional Data Analysis
E. Yang, A. Lozano and A. Aravkin
Electronic Journal of Statistics, Vol. 12, No. 2, 3519-3553, 2018

H. Lee, E. Yang and S. Hwang
In International Conference on Machine Learning (ICML) 35, 2018

J. Lee, S. Kim, J. Yoon, H. Lee, E. Yang and S. Hwang
arXiv preprint arXiv:1805.10896, 2018

M-estimation with the Trimmed l1 Penalty
J. Yun, P. Zheng, E. Yang, A. Lozano and A. Aravkin
arXiv preprint arXiv:1805.07495, 2018

Lifelong Learning with Dynamically Expandable Networks
J. Yoon, E. Yang, J. Lee and S. Hwang
International Conference on Learning Representations (ICLR), 2018

M. Yu, A. Thompson, K. Ramamurthy, E. Yang and A. Lozano
arXiv preprint arXiv:1710.01788, 2017

Learning Task Structure Via Sparsity Grouped Multitask Learning
M. Kshirsagar, E. Yang and A. Lozano
In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2017

E. Yang and A. Lozano
In International Conference on Machine Learning (ICML) 34, 2017

A. Suggala, E. Yang and P. Ravikumar
In International Conference on Machine Learning (ICML) 34, 2017

A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution
D. Inouye, E. Yang, G. Allen and P. Ravikumar
Wiley Interdisciplinary Reviews (WIREs): Computational Statistics, Vol. 9, No. 3, 2017

Iteratively Regrouped Lasso: Learning Group Structure In Genome Wide Association Studies In Crops
M. Kshirsagar, A. Lozano and E. Yang
Workshop on Data Science for Food, Energy and Water, Knowledge Discovery and Data Mining (KDD), 2016

Automated Sorghum Phenotyping and Trait Development Platform
M. Tuiinstra, C. Weil, A. Thompson, C. Boomsma, M. Crawford, A. Habib, E. Delp, K. Cherkauer, L. Biehl, N. Abe, M. Kshirsagar, A. Lozano, K. Natesan, P. Olsen, E. Yang
Workshop on Data Science for Food, Energy and Water, Knowledge Discovery and Data Mining (KDD), 2016

Y.-W. Wan, G. I. Allen, Y. Baker, E. Yang, P. Ravikumar, M. Anderson and Z. Li
BMC Systems Biology, Vol. 10, No. 3, 69, 2016

Asymmetric Multi-task Learning Based on Task Relatedness and Confidence
G. Lee, E. Yang and S. Hwang
In International Conference on Machine Learning (ICML), Vol. 33, 2016

Minimum Distance Lasso for Robust High-dimensional Regression
A. Lozano, N. Meinshausen and E. Yang
Electronic Journal of Statistics, Vol. 10, No. 1, 1296-1340, 2016

E. Yang, P. Ravikumar, G. Allen and Z. Liu.
Journal of Machine Learning Research (JMLR), Vol. 16, 3813-3847, 2015

E. Yang, A. Lozano and P. Ravikumar
In Advances in Neural Information Processing Systems (NIPS) 29, 2015
Spotlight, 82/1838 = 4.5%

Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
E. Yang and A. Lozano
In Advances in Neural Information Processing Systems (NIPS) 29, 2015

Elementary Estimators for Graphical Models
E. Yang, A. Lozano and P. Ravikumar
In Advances in Neural Information Processing Systems (NIPS) 28, 2014

E. Yang, A. Lozano and P. Ravikumar
In International Conference on Machine learning (ICML) 31, 2014

Elementary Estimators for Sparse Covariance Matrices and Other Structured Moments
E. Yang, A. Lozano and P. Ravikumar
In International Conference on Machine learning (ICML) 31, 2014

E. Yang, Y. Baker, P. Ravikumar, G. Allen and Z. Liu
In International Conference on Artificial Intelligence and Statistics (AISTATS) 17, 2014
Oral, 22/335 = 6.6%

E. Yang and P. Ravikumar
In Advances in Neural Information Processing Systems (NIPS) 27, 2013

E. Yang, P. Ravikumar, G. Allen and Z. Liu
In Advances in Neural Information Processing Systems (NIPS) 27, 2013

E. Yang, P. Ravikumar, G. Allen and Z. Liu
In Advances in Neural Information Processing Systems (NIPS) 27, 2013

On Robust Estimation of High-dimensional Generalized Linear Models
E. Yang, A. Tewari and P. Ravikumar
In International Joint Conference on Artificial Intelligence (IJCAI) 13, 2013

E. Yang, P. Ravikumar, G. Allen and Z. Liu
In Advances in Neural Information Processing Systems (NIPS) 26, 2012
Oral, 20/1467 = 1.4%

E. Yang, A. Tewari and P. Ravikumar
In International Conference on Artificial Intelligence and Statistics (AISTATS) 15, 2012

On the Use of Variational Inference for Learning Discrete Graphical Models
E. Yang and P. Ravikumar
In International Conference on Machine learning (ICML) 28, 2011

P. Ravikumar, A. Tewari and E. Yang
In International Conference on Artificial Intelligence and Statistics (AISTATS) 14, 2011

A New Class of Ranking Functions for DCG-Like Evaluation Metrics Using Conditional Probability Models.
E. Yang, P. Ravikumar and M. Lease.
Technical Report AI14-02 (AI report), Department of Computer Science, University of Texas at Austin, 2010