Chi, Min

19 publications

IJCAI 2025 Human-Readable Neuro-Fuzzy Networks from Frequent yet Discernible Patterns in Reward-Based Environments John Wesley Hostetter, Adittya Soukarjya Saha, Md. Mirajul Islam, Tiffany Barnes, Min Chi

AAAI 2025 Iterative Counterfactual Data Augmentation Mitchell Plyler, Min Chi

AAAI 2024 Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring Ge Gao, Xi Yang, Min Chi

IJCAI 2024 Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction Hyunwoo Sohn, Kyungjin Park, Baekkwan Park, Min Chi

NeurIPS 2024 Off-Policy Selection for Initiating Human-Centric Experimental Design Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic, Min Chi

ICLR 2024 On Trajectory Augmentations for Off-Policy Evaluation Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi

AAAI 2023 Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, Tiffany Barnes

IJCAI 2023 Hierarchical Apprenticeship Learning for Disease Progression Modeling Xi Yang, Ge Gao, Min Chi

NeurIPS 2023 Off-Policy Evaluation for Human Feedback Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic

ICLR 2023 Variational Latent Branching Model for Off-Policy Evaluation Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic

IJCAI 2022 A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi

AAAI 2022 Cross-Lingual Adversarial Domain Adaptation for Novice Programming Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi

NeurIPS 2021 Making a (Counterfactual) Difference One Rationale at a Time Mitchell Plyler, Michael Green, Min Chi

IJCAI 2021 Multi-Series Time-Aware Sequence Partitioning for Disease Progression Modeling Xi Yang, Yuan Zhang, Min Chi

ECML-PKDD 2021 Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups Farzaneh Khoshnevisan, Min Chi

IJCAI 2020 Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract) Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi

IJCAI 2019 ATTAIN: Attention-Based Time-Aware LSTM Networks for Disease Progression Modeling Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi

IJCAI 2019 Unobserved Is Not Equal to Non-Existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts Hamoon Azizsoltani, Yeo-Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi

IJCAI 2018 Temporal Belief Memory: Imputing Missing Data During RNN Training Yeo-Jin Kim, Min Chi