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Emre Kiciman

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Deep End-to-end Causal Inference

Feb 04, 2022
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

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Invariant Language Modeling

Oct 16, 2021
Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West

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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

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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

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

Nov 09, 2020
Amit Sharma, Emre Kiciman

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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

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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

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