Office: 500 West 120th St.,
Unit 416, New York, NY.
- May 2018: New paper to appear in ICML 2018, "CRVI: Convex Relaxation for Variational Inference".
2018: Poster presentation in New York Academy of Sciences Machine
Learning Symposium on "CRVI: Convex Relaxation for Variational
2018: Poster presentation in Columbia University Data Science Day on "CRVI: Convex Relaxation for Variational
- January 2018: I will be an instructor in Columbia University Data Science Bootcamp.
- October 2017: I received my Master of Philosophy in Electrical Engineering.
- June 2017: I will be a summer associate in J.P. Morgan in Quantitative Research.
I am Ghazal Fazelnia, a
Ph.D. student in Electrical Engineering Department and Data Science
Institute at Columbia University.
I am fortunate to be advised by Professor John Paisley.
interests include Probabilistic Modeling and Inference, Bayesian
Nonparametrics and Optimization Theory.
my M.Sc. in Electrical Engineering from Columbia University in 2015,
and my B.Sc. in Electrical Engineering from Sharif University of
Technology, Iran, in 2013.