Lee, Chi-Guhn

10 publications

TMLR 2026 Differentiable Cluster Discovery in Temporal Graphs Md Hafizur Rahman, Chi-Guhn Lee

ICLR 2026 Diverse and Sparse Mixture-of-Experts for Causal Subgraph–Based Out-of-Distribution Graph Learning Jerry Sun, Mohamed Abubakr Hassan, Yaoyu Zhang, Wanying Zhang, Chi-Guhn Lee

ICLR 2023 Recursive Time Series Data Augmentation Amine Mohamed Aboussalah, Minjae Kwon, Raj G Patel, Cheng Chi, Chi-Guhn Lee

IJCAI 2022 Multi-Policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee

IJCAI 2021 Bayesian Experience Reuse for Learning from Multiple Demonstrators Mike Gimelfarb, Scott Sanner, Chi-Guhn Lee

UAI 2021 Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee

ICLR 2021 Incremental Few-Shot Learning via Vector Quantization in Deep Embedded Space Kuilin Chen, Chi-Guhn Lee

NeurIPS 2021 Risk-Aware Transfer in Reinforcement Learning Using Successor Features Michael Gimelfarb, Andre Barreto, Scott Sanner, Chi-Guhn Lee

UAI 2019 Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee

NeurIPS 2018 Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee