Sejun Park

I am currently a Ph.D. student in the School of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Jinwoo Shin. My current research interests are on learning and optimization for probabilistic graphical models.

Education

    Korea Advanced Institute of Science and Technology Daejeon, Korea, 2014
    BS in Electrical Engineering and Mathematical Science (double majors )

Publication

Sequential Local Learning for Latent Graphical Models

Sejun Park, Eunho Yang and Jinwoo Shin
working paper

Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability

Sejun Park, Deepjyoti Deka and Michael Chertkov
Power Systems Computation Conference (PSCC) 2018 (accepted to appear)

Maximum Weight Matching using Odd-sized Cycles: Max-Product Belief Propagation and Half-Integrality

Sungsoo Ahn, Sejun Park, Michael Chertkov, Andrew E. Gelfand and Jinwoo Shin
IEEE Transactions on Information Theory, 2018

Convergence and Correctness of Max-Product Belief Propagation for Linear Programming

Sejun Park and Jinwoo Shin
SIAM Journal on Discrete Mathematics (SIDMA), vol. 31, no. 3, pp. 2228-2236, 2017

Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models

Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel stefankovic, Eric Vigoda
International Conference on Artificial Intelligence and Statistics (AISTATS) 2017

Message-Passing Framework for Large-Scale Combinatorial Optimization

Inho Cho, Soya Park, Sejun Park, Dongsu Han, Jinwoo Shin
IEEE International Conference on Big Data 2015

Minimum Weight Perfect Matching via Blossom Belief Propagation

Sungsoo Ahn, Sejun Park, Michael Chertkov and Jinwoo Shin
Neural Information Processing Systems (NIPS) 2015 (spotlight presentation)

Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization

Sejun Park and Jinwoo Shin
Conference on Uncertainty in Artificial Intelligence (UAI) 2015

Contact

Email: sejun.park@kaist.ac.kr
Phone: +82-42-350-7632
Office: N1-917