Sungin Ahn Department of Computer Sceince Center for Machine Learning and Intelligent Systems Donald Bren School of Information and Computer Science University of California, Irvine About Me I
am a Ph.D student working with Max Welling. I'm
interested in
various statistical machine learning problems including Bayesian
large-scale machine learning, Bayesian nonparametrics, probabilistic
graphical models, and
their applications to computer vision, natural language processing, and
data
mining. Among these, I'm now focusing on scalable Bayesian inference
for big data. [Picture]
Current Project Approximate Bayesian Posterior Sampling
Adaptive MCMC Publications S. Ahn, A. Korattikara, and M. Welling,
"Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring," ICML 2012, Best Paper Award Contact Email: *jn.ahn at gmail.com | *ungjia at ics.uci.edu (where '*' is 's')
Office: 4059 Donald Bren Hall |
