Postdocs
Students in Ph.D. program
Students in M.S. program
Past Students
"Efficient Bayesian optimization: Algorithms, approximation, and
regret analysis,"
Ph.D., February 2022 (now in POSTECH).
"Binary embedding: theory and applications,"
Ph.D., February 2018 (now in Kakao brain).
"Efficient Bayesian nonparametric inference: Tree-based methods
annd power law models,"
Ph.D., February 2018 (now in KAIST, Assistant Professor).
"Brain to brain interface for rat movement control,"
Ph.D., August 2017
(now in Samsung Research).
"Bayesian learning for collaborative prediction,"
Ph.D., February 2015
(now in Samsung Advanced Institute of Technology).
"Bayesian common spatial patterns for EEG classification,"
Ph.D., February 2015
(now in Samsung Advanced Institute of Technology).
"Learning with minimax paths on graphs,"
Ph.D., February 2015
(now in SK Telecom).
"Tongue-machine interface with glossokinetic potentials,"
Ph.D., February 2014
(now in Samsung).
"Probabilistic inference in context-specific dynamic networks,"
Ph.D., August 2013 (VU University Medical Center Amsterdam, Assistant
Professor).
"Embeddings for multi-class and multi-label learning,"
Ph.D., February 2013
(now in Lerner Research Institute Cleveland Clinic, Ohio, USA).
"Learning with matrix co-factorization,"
Ph.D., February 2012
(now in Samsung Advanced Institute of Technology).
"Dynamic hand gesture recognition with accelerometer,"
Ph.D., February 2010
(now in Vuno).
"Probabilistic models for motif discovery in biopolymer sequences,"
Ph.D., February 2010
(now in DGIST, Assistant Professor).
"Nonnegative matrix and tensor factorization methods for spectral
EEG classification,"
Ph.D., February 2009
(now in Seoul National University Medical School, Research Associate Professor).