Kiciman, Emre

16 publications

ICML 2025 RLTHF: Targeted Human Feedback for LLM Alignment Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Srinagesh Sharma, Songwu Lu, Ranveer Chandra

ICLR 2025 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations Katie Matton, Robert Ness, John Guttag, Emre Kiciman

TMLR 2024 Causal Reasoning and Large Language Models: Opening a New Frontier for Causality Emre Kiciman, Robert Ness, Amit Sharma, Chenhao Tan

TMLR 2024 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang

ICLRW 2024 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations Katie Matton, Robert Ness, Emre Kiciman

ICLR 2023 Modeling the Data-Generating Process Is Necessary for Out-of-Distribution Generalization Jivat Neet Kaur, Emre Kiciman, Amit Sharma

ICMLW 2023 Towards Modular Machine Learning Pipelines Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan

NeurIPSW 2022 A Causal AI Suite for Decision-Making Emre Kiciman, Eleanor Wiske Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang

NeurIPSW 2022 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

AAAI 2022 Investigations of Performance and Bias in Human-AI Teamwork in Hiring Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar

ICMLW 2022 Modeling the Data-Generating Process Is Necessary for Out-of-Distribution Generalization Jivat Neet Kaur, Emre Kiciman, Amit Sharma

NeurIPSW 2022 Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma

NeurIPSW 2022 Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma

NeurIPS 2020 AvE: Assistance via Empowerment Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca Dragan

AAAI 2019 A Distillation Approach to Data Efficient Individual Treatment Effect Estimation Maggie Makar, Adith Swaminathan, Emre Kiciman

NeurIPS 2007 Fast Variational Inference for Large-Scale Internet Diagnosis Emre Kiciman, David Maltz, John C. Platt