Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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12 results for Eunho Yang

Trimming the ₁ regularizer: Statistical analysis, optimization, and applications to deep learning
- - Jihun Yun
  - Peng Zheng
  - et al.
- 2019
- ICML 2019
Sparse + Group-sparse dirty models: Statistical guarantees without unreasonable conditions and a case for non-convexity
- - Eunho Yang
  - Aurelie C. Lozano
- 2017
- ICML 2017
Closed-form estimators for high-dimensional generalized linear models
- - Eunho Yang
  - Aurelie C. Lozano
  - et al.
- 2015
- NeurIPS 2015
Robust Gaussian Graphical modeling with the Trimmed Graphical Lasso
- - Eunho Yang
  - Aurelie C. Lozano
- 2015
- NeurIPS 2015
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
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning
- - Jihun Yun
  - Aurelie C. Lozano
  - et al.
- 2022
- AISTATS 2022
A general family of trimmed estimators for robust high-dimensional data analysis
- - Eunho Yang
  - Aurelie C. Lozano
  - et al.
- 2018
- Electronic Journal of Statistics
XMRF: An R package to fit Markov Networks to high-throughput genetics data
- - Ying-Wooi Wan
  - Genevera I. Allen
  - et al.
- 2016
- BMC Systems Biology