Lee, Sanghack

34 publications

NeurIPS 2025 Non-Stationary Structural Causal Bandits Yeahoon Kwon, Yesong Choe, Soungmin Park, Neil Dhir, Sanghack Lee

CVPR 2025 PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization Dong Kyu Cho, Inwoo Hwang, Sanghack Lee

NeurIPS 2025 Structural Causal Bandits Under Markov Equivalence Min Woo Park, Andy Arditi, Elias Bareinboim, Sanghack Lee

UAI 2024 Causal Discovery with Deductive Reasoning: One Less Problem Jonghwan Kim, Inwoo Hwang, Sanghack Lee

NeurIPS 2024 Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference Yonghan Jung, Min Woo Park, Sanghack Lee

UAI 2024 Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction Yunhyeok Kwak, Inwoo Hwang, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang

AISTATS 2024 Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models Soheun Yi, Sanghack Lee

ICML 2024 Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee

NeurIPSW 2024 Locality-Aware Concept Bottleneck Model Sujin Jeon, Inwoo Hwang, Sanghack Lee, Byoung-Tak Zhang

NeurIPSW 2024 On Incorporating Prior Knowledge Extracted from Pre-Trained Language Models into Causal Discovery Chanhui Lee, Juhyeon Kim, YongJun Jeong, Yoonseok Yeom, Juhyun Lyu, Jung-Hee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Kyunghoon Bae, Sungbin Lim, Sanghack Lee

ICML 2024 On Positivity Condition for Causal Inference Inwoo Hwang, Yesong Choe, Yeahoon Kwon, Sanghack Lee

TMLR 2024 Toward a Complete Criterion for Value of Information in Insoluble Decision Problems Ryan Carey, Sanghack Lee, Robin J. Evans

NeurIPSW 2023 Learning to Ignore: Single Source Domain Generalization via Oracle Regularization Dong Kyu Cho, Sanghack Lee

CLeaR 2023 On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee

NeurIPSW 2023 Quantized Local Independence Discovery for Fine-Grained Causal Dynamics Learning in Reinforcement Learning Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee

ICML 2022 Counterfactual Transportability: A Formal Approach Juan D Correa, Sanghack Lee, Elias Bareinboim

NeurIPS 2021 Causal Identification with Matrix Equations Sanghack Lee, Elias Bareinboim

NeurIPS 2021 Nested Counterfactual Identification from Arbitrary Surrogate Experiments Juan Correa, Sanghack Lee, Elias Bareinboim

ICML 2020 Causal Effect Identifiability Under Partial-Observability Sanghack Lee, Elias Bareinboim

NeurIPS 2020 Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe Sanghack Lee, Elias Bareinboim

AAAI 2020 General Transportability - Synthesizing Observations and Experiments from Heterogeneous Domains Sanghack Lee, Juan D. Correa, Elias Bareinboim

AAAI 2020 Identifiability from a Combination of Observations and Experiments Sanghack Lee, Juan D. Correa, Elias Bareinboim

UAI 2019 General Identifiability with Arbitrary Surrogate Experiments Sanghack Lee, Juan D. Correa, Elias Bareinboim

AAAI 2019 Structural Causal Bandits with Non-Manipulable Variables Sanghack Lee, Elias Bareinboim

UAI 2019 Towards Robust Relational Causal Discovery Sanghack Lee, Vasant Honavar

NeurIPS 2018 Structural Causal Bandits: Where to Intervene? Sanghack Lee, Elias Bareinboim

UAI 2017 Self-Discrepancy Conditional Independence Test Sanghack Lee, Vasant G. Honavar

UAI 2017 Towards Conditional Independence Test for Relational Data Sanghack Lee, Vasant G. Honavar

UAI 2016 A Characterization of Markov Equivalence Classes of Relational Causal Models Under Path Semantics Sanghack Lee, Vasant G. Honavar

AAAI 2016 On Learning Causal Models from Relational Data Sanghack Lee, Vasant G. Honavar

UAI 2015 Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning Sanghack Lee, Vasant G. Honavar

UAI 2013 Causal Transportability of Experiments on Controllable Subsets of Variables: Z-Transportability Sanghack Lee, Vasant G. Honavar

AAAI 2013 M-Transportability: Transportability of a Causal Effect from Multiple Environments Sanghack Lee, Vasant G. Honavar

NeurIPS 2013 Transportability from Multiple Environments with Limited Experiments Elias Bareinboim, Sanghack Lee, Vasant Honavar, Judea Pearl