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Showing results 1 to 23 of 23

Issue Date	Title / Author(s) / Citation	File
2013	Transportability from multiple environments with limited experiments Bareinboim, Elias; Lee, Sanghack; Honavar, Vasant; Pearl, Judea Advances in Neural Information Processing Systems
2013	M-transportability: Transportability of a causal effect from multiple environments Lee, Sanghack; Honavar, Vasant Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013, pp.583-590
2013	Causal transportability of experiments on controllable subsets of variables: Z-transportability Lee, Sanghack; Honavar, Vasant Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, UAI 2013, pp.361-370
2013	Learning Classifiers from Distributional Data Lin, Harris T.; Lee, Sanghack; Bui, Ngot; Honavar, Vasant 2013 IEEE INTERNATIONAL CONGRESS ON BIG DATA, pp.302-309	DOI
2015	Lifted representation of relational causal models revisited: Implications for reasoning and structure learning Lee, Sanghack; Honavar, Vasant CEUR Workshop Proceedings, Vol.1504, pp.56-65
2016	A characterization of Markov equivalence classes of Relational Causal Models under path semantics Lee, Sanghack; Honavar, Vasant 32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016, pp.387-396
2016	Teens are from Mars, Adults are from Venus": Analyzing and Predicting Age Groups with Behavioral Characteristics in Instagram Han, Kyungsik; Lee, Sanghack; Jang, Jin Yea; Jung, Yong; Lee, Dongwon PROCEEDINGS OF THE 2016 ACM WEB SCIENCE CONFERENCE (WEBSCI'16), pp.35-44	DOI
2016	On Learning Causal Models from Relational Data Lee, Sanghack; Honavar, Vasant THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.3263-3270
2017	Self-Discrepancy Conditional Independence Test Lee, Sanghack; Honavar, Vasant CONFERENCE ON UNCERTAINTY IN ARTIFICIAL INTELLIGENCE (UAI2017)
2017	A Kernel Conditional Independence Test for Relational Data Lee, Sanghack; Honavar, Vasant CONFERENCE ON UNCERTAINTY IN ARTIFICIAL INTELLIGENCE (UAI2017)
2018	Structural Causal Bandits: Where to Intervene? Lee, Sanghack; Bareinboim, Elias ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), Vol.31
2019	Structural Causal Bandits with Non-Manipulable Variables Lee, Sanghack; Bareinboim, Elias THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, pp.4164-4172
2019	Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality Khademi, Aria; Lee, Sanghack; Foley, David; Honavar, Vasant WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019), pp.2907-2914	DOI
2020	Towards Robust Relational Causal Discovery Lee, Sanghack; Honavar, Vasant 35TH UNCERTAINTY IN ARTIFICIAL INTELLIGENCE CONFERENCE (UAI 2019), Vol.115, pp.345-355
2020	General Identifiability with Arbitrary Surrogate Experiments Lee, Sanghack; Correa, Juan D.; Bareinboim, Elias 35TH UNCERTAINTY IN ARTIFICIAL INTELLIGENCE CONFERENCE (UAI 2019), Vol.115, pp.389-398
2020-02	General transportability ⇓ synthesizing observations and experiments from heterogeneous domains Lee, Sanghack; Correa, Juan D.; Bareinboim, Elias AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp.10210-10218
2020-07	Causal effect identifiability under partial-observability Lee, Sanghack; Bareinboim, Elias 37th International Conference on Machine Learning, ICML 2020, Vol.PartF168147-8, pp.5648-5657
2020-12	Characterizing optimal mixed policies: Where to intervene and what to observe Lee, Sanghack; Bareinboim, Elias Advances in Neural Information Processing Systems, Vol.2020-December
2021-01	Causal Identification with Matrix Equations Lee, Sanghack; Bareinboim, Elias Advances in Neural Information Processing Systems, Vol.12, pp.9468-9479
2021-12	Nested Counterfactual Identification from Arbitrary Surrogate Experiments Correa, Juan D.; Lee, Sanghack; Bareinboim, Elias Advances in Neural Information Processing Systems, Vol.9, pp.6856-6867
2022	SNU-Causality Lab @ Causal News Corpus 2022: Detecting Causality by Data Augmentation via Part-of-Speech tagging Kim, Juhyeon; Choe, Yesong; Lee, Sanghack CASE 2022 - 5th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, Proceedings of the Workshop, pp.44-49
2022-07	Counterfactual Transportability: A Formal Approach Correa, Juan D.; Lee, Sanghack; Bareinboim, Elias Proceedings of Machine Learning Research (PMLR), Vol.162, pp.4370-4390
2023	On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition Hwang, Inwoo; Kwak, Yunhyeok; Song, Yeon-Ji; Zhang, Byoung-Tak; Lee, Sanghack Proceedings of Machine Learning Research, Vol.213, pp.448-472