Kwon, Yeong-Dae

5 publications

ICML 2024 Improving Instruction Following in Language Models Through Proxy-Based Uncertainty Estimation Joonho Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, Juyoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, Wenjun Hu, Yeong-Dae Kwon, Taehee Lee, Seungjai Min

ICLR 2022 Efficient Active Search for Combinatorial Optimization Problems André Hottung, Yeong-Dae Kwon, Kevin Tierney

NeurIPS 2022 Simulation-Guided Beam Search for Neural Combinatorial Optimization Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon

NeurIPS 2021 Matrix Encoding Networks for Neural Combinatorial Optimization Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon

NeurIPS 2020 POMO: Policy Optimization with Multiple Optima for Reinforcement Learning Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim, Iljoo Yoon, Youngjune Gwon, Seungjai Min