Jungtaek Kim

Postdoctoral Associate @ the University of Pittsburgh

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3700 O'Hara St

Pittsburgh, PA 15261

United States

Jungtaek Kim is a postdoctoral associate at the University of Pittsburgh, working with Prof. Paul W. Leu, Prof. Satish Iyengar, Prof. Lucas Mentch, and Prof. Oliver Hinder.

He received B.S. in Mechanical Engineering and Computer Science and Engineering from POSTECH in 2015, and Ph.D. in Computer Science and Engineering from POSTECH in 2022, under the supervision of Prof. Seungjin Choi and Prof. Minsu Cho.

His main research interests are statistical machine learning, Bayesian optimization, and sequential assembly.

News

Feb 12, 2024 My new paper “Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization” has been released at arXiv.
Jan 24, 2024 I will serve as a reviewer for UAI-2024.
Jan 16, 2024 My paper “Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions” with Jeongbeen Yoon and Prof. Minsu Cho has been accepted at ICLR-2024.
Jan 04, 2024 My new paper “Beyond Regrets: Geometric Metrics for Bayesian Optimization” is released at arXiv.
Dec 05, 2023 I will serve as a reviewer for ICML-2024.