NEWS | JUNGTAEK KIM

JUNGTAEK KIM

Postdoctoral Associate
at the University of Pittsburgh

jungtaek.kim [at] pitt [dot] edu

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NEWS

[May 2022] I will serve as a program committee member for ACML-2022.
[April 2022] My work "Learning to Assemble Geometric Shapes" (with Jinhwi Lee, Hyunsoo Chung, Jaesik Park, and Minsu Cho) has been accepted at IJCAI-ECAI-2022.
[March 2022] I will serve as a reviewer for NeurIPS-2022.
[February 2022] I will serve as a reviewer for a new machine learning journal, Transactions on Machine Learning Research.
[February 2022] I will deliver a lecture, entitled "Recent Trends in Machine Learning: A Large-Scale Perspective," with Kakao Brain this semester at POSTECH.
[February 2022] My work "On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization" is now on arXiv.
[February 2022] I will start working as a postdoctoral researcher at the Computer Vision Lab, POSTECH under the supervision of Prof. Minsu Cho.
[January 2022] My recent work "On Evaluation Metrics for Graph Generative Models" is available at arXiv.
[January 2022] The recent work "On Evaluation Metrics for Graph Generative Models" (with Rylee Thompson, Boris Knyazev, Elahe Ghalebi, and Graham W. Taylor) has been accepted at ICLR-2022.
[January 2022] My paper "On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization" is accepted at AISTATS-2022.
[January 2022] I will serve as a reviewer for AutoML-Conf-2022.
[January 2022] Happy new year!
[December 2021] I have succesfully defended my doctoral dissertation. Thanks to my committee, Prof. Minsu Cho, Prof. Seungjin Choi, Prof. Dongwoo Kim, Dr. Michael McCourt, Prof. Jungseul Ok. Look at the photo we took after the defense.
[December 2021] I will serve as a program committee member for UAI-2022.
[December 2021] I will serve as a reviewer for ICML-2022.
[December 2021] Brick-by-Brick is featured in the NeurIPS-2021 recapitulation of Vector Institute as the headline of the article.
[November 2021] I am serving as a reviewer for the Journal of Artificial Intelligence Research (JAIR).
[November 2021] My paper "Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning" is now on arXiv.
[September 2021] My work "Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning" (with Hyunsoo Chung, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, and Minsu Cho) has been accepted at NeurIPS-2021.
[August 2021] I will serve as a reviewer for AAAI-2022.
[July 2021] I will serve as a reviewer for AISTATS-2022.
[July 2021] I will serve as a program committee member for IJCAI-ECAI-2022.
[June 2021] I will serve as a reviewer for ICLR-2022.
[June 2021] I am serving as a reviewer for NeurIPS-2021.
[April 2021] I will serve as a program committee member for the 8th ICML Workshop on Automated Machine Learning (AutoML-2021).
[April 2021] I am serving as a reviewer for the Journal of Open Source Software (JOSS).
[April 2021] I released BayesO v0.5.0 and BayesO Benchmarks v0.1.4.
[April 2021] I will serve as a program committee member for ACML-2021.
[March 2021] My work "Bayesian Optimization with Approximate Set Kernels" is available now.
[January 2021] My work "Bayesian Optimization with Approximate Set Kernels" (with Michael McCourt, Tackgeun You, Saehoon Kim, and Seungjin Choi) will be appeared in Machine Learning Journal as part of Special Issue of the ECML-PKDD-2021 Journal Track.
[January 2021] Happy new year to all of you!
[December 2020] I will serve as a reviewer for ICML-2021.
[December 2020] I released version 0.4.3 of BayesO.
[November 2020] My work, Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope (with Minsu Cho and Seungjin Choi) is released on arXiv.
[November 2020] My recent project, Combinatorial-3D-Shape-Generation and its subordinate project, Geometric-Primitives are made publicly available on GitHub.
[November 2020] I will give a tutorial on Bayesian optimization (with Seungjin Choi) at KSC-2020.
[October 2020] My work "Combinatorial 3D Shape Generation via Sequential Assembly" has been accepted at NeurIPS Workshop on Machine Learning for Engineering Modeling, Simulation, and Design (ML4Eng-2020).
[October 2020] My work "Fragment Relation Networks for Geometric Shape Assembly" has been accepted at NeurIPS Workshop on Learning Meets Combinatorial Algorithms (LMCA-2020).
[October 2020] I am serving as a program committee member for UAI-2021.
[October 2020] I will start working as a (remote) research intern at the Vector Institute under the supervision of Dr. Graham W. Taylor.
[October 2020] I am serving as a reviewer for AISTATS-2021.
[September 2020] The recent work "Bootstrapping Neural Processes" has been accepted at NeurIPS-2020.
[August 2020] I am serving as a program committee member for IJCAI-2021.
[August 2020] I am serving as a program committee member for AAAI-2021.
[June 2020] The paper "On Local Optimizers of Acquisition Functions in Bayesian Optimization" has been accepted at ECML-PKDD-2020.

Last updated: May 26, 2023