Jihwan Jeong

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Continuous State

Mixed Integer Linear Program

Top Venues

Publications

Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
Demystifying Embedding Spaces using Large Language Models. ICLR (2024)
Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
Demystifying Embedding Spaces using Large Language Models. CoRR (2023)
Jihwan Jeong, Scott Sanner, Akshat Kumar
A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination. CPAIOR (2023)
Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization. ICLR (2023)
Jihwan Jeong, Yinlam Chow, Guy Tennenholtz, Chih-Wei Hsu, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier
Factual and Personalized Recommendations using Language Models and Reinforcement Learning. CoRR (2023)
Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner
Online continual learning in image classification: An empirical survey. Neurocomputing 469 (2022)
Noah Patton, Jihwan Jeong, Mike Gimelfarb, Scott Sanner
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs. AAAI (2022)
Jihwan Jeong, Parth Jaggi, Andrew Butler, Scott Sanner
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming. ICML (2022)
Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization. CoRR (2022)
Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner
Online Continual Learning in Image Classification: An Empirical Survey. CoRR (2021)
Jihwan Jeong, Parth Jaggi, Scott Sanner
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions. IJCAI (2021)
Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
Online Class-Incremental Continual Learning with Adversarial Shapley Value. AAAI (2021)
Jihwan Jeong, Hayong Shin
Bayesian optimization for a multiple-component system with target values. Comput. Ind. Eng. 157 (2021)
Noah Patton, Jihwan Jeong, Michael Gimelfarb, Scott Sanner
RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation. CoRR (2021)
Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. CoRR (2020)
Zheda Mai, Hyunwoo Kim, Jihwan Jeong, Scott Sanner
Batch-level Experience Replay with Review for Continual Learning. CoRR (2020)
Jihwan Jeong, Dongwon Seo, Chanyoung Lee, Jonghoon Kwon, Heejo Lee, John Milburn
MysteryChecker: Unpredictable attestation to detect repackaged malicious applications in Android. MALWARE (2014)
Jonghoon Kwon, Jihwan Jeong, Jehyun Lee, Heejo Lee
DroidGraph: discovering Android malware by analyzing semantic behavior. CNS (2014)