Jungtaek Kim
Postdoctoral Associate @ the University of Pittsburgh
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
Oct 07, 2024 | My collaborative paper “Discovering Multi-Layer Films for Electromagnetic Interference Shielding and Passive Cooling with Multi-Objective Active Learning” has been accepted at NeurIPS Workshop on AI for Accelerated Materials Discovery (AI4Mat-2024). |
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Sep 25, 2024 | My paper “Model Fusion through Bayesian Optimization in Language Model Fine-Tuning” has been accepted at NeurIPS-2024. |
Sep 05, 2024 | My paper “Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction” has been accepted at TMLR. |
Jul 16, 2024 | My collaborative work “Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity” has been accepted at CIKM-2024. |
May 02, 2024 | My work “Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization” with Prof. Kwang-Sung Jun has been accepted at ICML-2024. |