Lee, Changhee

14 publications

ICML 2025 Stochastic Encodings for Active Feature Acquisition Alexander Luke Ian Norcliffe, Changhee Lee, Fergus Imrie, Mihaela Van Der Schaar, Pietro Lio

ICLR 2024 Conditional Information Bottleneck Approach for Time Series Imputation MinGyu Choi, Changhee Lee

ICML 2024 Discovering Features with Synergistic Interactions in Multiple Views Chohee Kim, Mihaela Van Der Schaar, Changhee Lee

NeurIPS 2024 Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning Dongjoon Lee, Hyeryn Park, Changhee Lee

NeurIPSW 2023 Clinical Time Series Imputation Using Conditional Information Bottleneck MinGyu Choi, Changhee Lee

ICML 2023 Neural Stochastic Differential Games for Time-Series Analysis Sungwoo Park, Byoungwoo Park, Moontae Lee, Changhee Lee

NeurIPS 2023 Risk-Averse Active Sensing for Timely Outcome Prediction Under Cost Pressure Yuchao Qin, Mihaela van der Schaar, Changhee Lee

AISTATS 2023 T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression Yuchao Qin, Mihaela Schaar, Changhee Lee

ICLR 2022 Self-Supervision Enhanced Feature Selection with Correlated Gates Changhee Lee, Fergus Imrie, Mihaela van der Schaar

AISTATS 2021 A Variational Information Bottleneck Approach to Multi-Omics Data Integration Changhee Lee, Mihaela Schaar

NeurIPS 2021 SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth, Changhee Lee, Mihaela van der Schaar

ICML 2020 Temporal Phenotyping Using Deep Predictive Clustering of Disease Progression Changhee Lee, Mihaela Van Der Schaar

AISTATS 2019 Temporal Quilting for Survival Analysis Changhee Lee, William Zame, Ahmed Alaa, Mihaela Schaar

AAAI 2018 DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar