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Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix

Jan 16, 2021
Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman

* 22 pages 

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Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions

Nov 11, 2020
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman

* To be published in WSDM 

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DoWhy: An End-to-End Library for Causal Inference

Nov 09, 2020
Amit Sharma, Emre Kiciman

* 5 pages 

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Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction

Oct 17, 2020
Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman

* 9 pages, 8 figures, 2 tables, accepted to WSDM 2021 

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Security and Machine Learning in the Real World

Jul 13, 2020
Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li


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AvE: Assistance via Empowerment

Jul 09, 2020
Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca Dragan

* Fix missing citation on page 4; edit acknowledgements 

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Novel Human-Object Interaction Detection via Adversarial Domain Generalization

May 22, 2020
Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C. -C. Jay Kuo, Pengchuan Zhang


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What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring

Sep 08, 2019
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar

* This paper has been accepted for publication at HCOMP 2019 

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