Jihwan Jeong

According to our database, Jihwan Jeong authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Demystifying Embedding Spaces using Large Language Models.

Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Factual and Personalized Recommendations using Language Models and Reinforcement Learning.

Jihwan Jeong, Yinlam Chow, Guy Tennenholtz, Chih-Wei Hsu, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier

CoRR, 2023

Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization.

Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination.

Jihwan Jeong, Scott Sanner, Akshat Kumar

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

2022

Online continual learning in image classification: An empirical survey.

Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner

Neurocomputing, 2022

An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming.

Jihwan Jeong, Parth Jaggi, Andrew Butler, Scott Sanner

Proceedings of the International Conference on Machine Learning, 2022

A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs.

Noah Patton, Jihwan Jeong, Mike Gimelfarb, Scott Sanner

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation.

Noah Patton, Jihwan Jeong, Michael Gimelfarb, Scott Sanner

CoRR, 2021

Bayesian optimization for a multiple-component system with target values.

Jihwan Jeong, Hayong Shin

Comput. Ind. Eng., 2021

Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions.

Jihwan Jeong, Parth Jaggi, Scott Sanner

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Online Class-Incremental Continual Learning with Adversarial Shapley Value.

Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Shapley Value Experience Replay for Task-Free Continual Learning.

Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang

CoRR, 2020

Batch-level Experience Replay with Review for Continual Learning.

Zheda Mai, Hyunwoo Kim, Jihwan Jeong, Scott Sanner

CoRR, 2020

2014

MysteryChecker: Unpredictable attestation to detect repackaged malicious applications in Android.

Jihwan Jeong, Dongwon Seo, Chanyoung Lee, Jonghoon Kwon, Heejo Lee, John Milburn

Proceedings of the 9th International Conference on Malicious and Unwanted Software: The Americas MALWARE 2014, 2014

DroidGraph: discovering Android malware by analyzing semantic behavior.

Jonghoon Kwon, Jihwan Jeong, Jehyun Lee, Heejo Lee

Proceedings of the IEEE Conference on Communications and Network Security, 2014