default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJungtaek Kim 0001
Person information
- affiliation: University of Pittsburgh, PA, USA
- affiliation (former): Pohang University of Science and Technology (POSTECH), Department of Computer Science and Engineering, South Korea
Other persons with the same name
- Jungtaek Kim (aka: Jung-Taek Kim) — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c15]Jungtaek Kim, Jeongbeen Yoon, Minsu Cho:
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions. ICLR 2024- [c14]Kwang-Sung Jun, Jungtaek Kim:
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization. ICML 2024 - [i21]Jungtaek Kim:
Beyond Regrets: Geometric Metrics for Bayesian Optimization. CoRR abs/2401.01981 (2024) - [i20]Kwang-Sung Jun, Jungtaek Kim:
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization. CoRR abs/2402.07341 (2024) - [i19]Hyunsoo Chung, Jungtaek Kim, Hyungeun Jo, Hyungwon Choi:
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity. CoRR abs/2408.00326 (2024) - 2023
- [j2]Jungtaek Kim
, Seungjin Choi:
BayesO: A Bayesian optimization framework in Python. J. Open Source Softw. 8(90): 5320 (2023) - [c13]Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul W. Leu:
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations. NeurIPS 2023 - [c12]Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han:
Generative Neural Fields by Mixtures of Neural Implicit Functions. NeurIPS 2023 - [i18]Jungtaek Kim:
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning. CoRR abs/2305.15612 (2023) - [i17]Jungtaek Kim, Jeongbeen Yoon, Minsu Cho:
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions. CoRR abs/2310.07174 (2023) - [i16]Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul W. Leu:
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations. CoRR abs/2310.19053 (2023) - [i15]Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han:
Generative Neural Fields by Mixtures of Neural Implicit Functions. CoRR abs/2310.19464 (2023) - 2022
- [c11]Jungtaek Kim, Seungjin Choi:
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. AISTATS 2022: 4359-4375 - [c10]Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor:
On Evaluation Metrics for Graph Generative Models. ICLR 2022 - [c9]Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho:
Learning to Assemble Geometric Shapes. IJCAI 2022: 1046-1052 - [c8]Jungtaek Kim, Seungjin Choi, Minsu Cho:
Combinatorial Bayesian optimization with random mapping functions to convex polytopes. UAI 2022: 1001-1011 - [i14]Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor:
On Evaluation Metrics for Graph Generative Models. CoRR abs/2201.09871 (2022) - [i13]Jungtaek Kim, Seungjin Choi:
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. CoRR abs/2202.10669 (2022) - [i12]Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho:
Learning to Assemble Geometric Shapes. CoRR abs/2205.11809 (2022) - [i11]Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park:
Sequential Brick Assembly with Efficient Constraint Satisfaction. CoRR abs/2210.01021 (2022) - 2021
- [j1]Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi:
Bayesian optimization with approximate set kernels. Mach. Learn. 110(5): 857-879 (2021) - [c7]Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho:
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. NeurIPS 2021: 5745-5757 - [i10]Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho:
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. CoRR abs/2110.15481 (2021) - 2020
- [c6]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping neural processes. NeurIPS 2020 - [c5]Jungtaek Kim, Seungjin Choi:
On Local Optimizers of Acquisition Functions in Bayesian Optimization. ECML/PKDD (2) 2020: 675-690 - [i9]Jungtaek Kim, Hyunsoo Chung, Minsu Cho, Jaesik Park:
Combinatorial 3D Shape Generation via Sequential Assembly. CoRR abs/2004.07414 (2020) - [i8]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping Neural Processes. CoRR abs/2008.02956 (2020) - [i7]Jungtaek Kim, Minsu Cho, Seungjin Choi:
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope. CoRR abs/2011.13094 (2020)
2010 – 2019
- 2019
- [c4]Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. ICML 2019: 3744-3753 - [i6]Jungtaek Kim, Seungjin Choi:
On Local Optimizers of Acquisition Functions in Bayesian Optimization. CoRR abs/1901.08350 (2019) - [i5]Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi:
MxML: Mixture of Meta-Learners for Few-Shot Classification. CoRR abs/1904.05658 (2019) - [i4]Jungtaek Kim, Seungjin Choi:
Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization. CoRR abs/1905.07540 (2019) - [i3]Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi:
Bayesian Optimization over Sets. CoRR abs/1905.09780 (2019) - 2018
- [c3]Saehoon Kim, Jungtaek Kim, Seungjin Choi:
On the Optimal Bit Complexity of Circulant Binary Embedding. AAAI 2018: 3423-3430 - [c2]Jungtaek Kim, Seungjin Choi:
Clustering-Guided Gp-Ucb for Bayesian Optimization. ICASSP 2018: 2461-2465 - [c1]Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, Seungjin Choi:
Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks. ICASSP 2018: 2686-2690 - [i2]Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer. CoRR abs/1810.00825 (2018) - 2017
- [i1]Jungtaek Kim, Saehoon Kim, Seungjin Choi:
Learning to Transfer Initializations for Bayesian Hyperparameter Optimization. CoRR abs/1710.06219 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 02:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
