Jungtaek Kim

Orcid: 0000-0002-1905-1399

Affiliations:

University of Pittsburgh, PA, USA
Pohang University of Science and Technology (POSTECH), Department of Computer Science and Engineering, South Korea (former)

According to our database¹, Jungtaek Kim authored at least 28 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

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Bibliography

2024

Beyond Regrets: Geometric Metrics for Bayesian Optimization.

[BibT_eX]

[DOI]

Jungtaek Kim

CoRR, 2024

Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization.

[BibT_eX]

[DOI]

Kwang-Sung Jun

Jungtaek Kim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions.

[BibT_eX]

[DOI]

Jungtaek Kim

Jeongbeen Yoon

Minsu Cho

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

BayesO: A Bayesian optimization framework in Python.

[BibT_eX]

[DOI]

Jungtaek Kim

Seungjin Choi

J. Open Source Softw., October, 2023

Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning.

[BibT_eX]

[DOI]

Jungtaek Kim

CoRR, 2023

Generative Neural Fields by Mixtures of Neural Implicit Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Sequential Brick Assembly with Efficient Constraint Satisfaction.

[BibT_eX]

[DOI]

CoRR, 2022

Combinatorial Bayesian optimization with random mapping functions to convex polytopes.

[BibT_eX]

[DOI]

Jungtaek Kim

Seungjin Choi

Minsu Cho

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Learning to Assemble Geometric Shapes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

On Evaluation Metrics for Graph Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization.

[BibT_eX]

[DOI]

Jungtaek Kim

Seungjin Choi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Bayesian optimization with approximate set kernels.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope.

[BibT_eX]

[DOI]

Jungtaek Kim

Minsu Cho

Seungjin Choi

CoRR, 2020

Combinatorial 3D Shape Generation via Sequential Assembly.

[BibT_eX]

[DOI]

CoRR, 2020

On Local Optimizers of Acquisition Functions in Bayesian Optimization.

[BibT_eX]

[DOI]

Jungtaek Kim

Seungjin Choi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Bootstrapping neural processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Bayesian Optimization over Sets.

[BibT_eX]

[DOI]

CoRR, 2019

Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization.

[BibT_eX]

[DOI]

Jungtaek Kim

Seungjin Choi

CoRR, 2019

MxML: Mixture of Meta-Learners for Few-Shot Classification.

[BibT_eX]

[DOI]

CoRR, 2019

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Set Transformer.

[BibT_eX]

[DOI]

CoRR, 2018

Clustering-Guided Gp-Ucb for Bayesian Optimization.

[BibT_eX]

[DOI]

Jungtaek Kim

Seungjin Choi

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

On the Optimal Bit Complexity of Circulant Binary Embedding.

[BibT_eX]

[DOI]

Saehoon Kim

Jungtaek Kim

Seungjin Choi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning to Transfer Initializations for Bayesian Hyperparameter Optimization.

[BibT_eX]

[DOI]

Jungtaek Kim

Saehoon Kim

Seungjin Choi

CoRR, 2017

Jungtaek Kim

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