Program Years:
2014–2018
University:
Carnegie Mellon University
Field of Study:
Machine Learning
Advisor:
Zico Kolter
Degree(s):
B.S. Computer Science, University of Southern California, 2004
Practicum Experience(s)
Lawrence Berkeley National Laboratory (2015)
Practicum Supervisor(s):
Sang-Yun
Oh
Practicum Title:
High-dimensional variable selection and shrinkage in pseudolikelihood estimators of the inverse covariance matrix
Current Status
Research Area:
Machine Learning
Personal URL:
http://www.alnurali.com/
Annual Program Review Abstracts
Fellow Presentation
:
Distributed Sparse Inverse Covariance Estimation from fMRI Data for Segmenting the Human Brain
(2018
)
Fellow Poster
:
Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization
(2015
)