Emre Kiciman

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 82

Top Venues

Publications

Somya Sharma, Swati Sharma, Rafael Padilha, Emre Kiciman, Ranveer Chandra
Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization. CoRR (2024)
Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
Observer Effect in Social Media Use. CHI (2024)
Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura Balzer, Mark J. van der Laan, Maya Petersen
Large Language Models as Co-Pilots for Causal Inference in Medical Studies. CoRR (2024)
Tomas Geffner, Javier Antorán, 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
Deep End-to-end Causal Inference. Trans. Mach. Learn. Res. 2024 (2024)
Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
Defending Against Indirect Prompt Injection Attacks With Spotlighting. CoRR (2024)
Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. ACL (1) (2024)
Emre Kiciman, Robert Ness, Amit Sharma, Chenhao Tan
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. CoRR (2023)
Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, Robert West
Food Choice Mimicry on a Large University Campus. CoRR (2023)
Arash Nasr-Esfahany, Emre Kiciman
Counterfactual (Non-)identifiability of Learned Structural Causal Models. CoRR (2023)
Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings
Language Model Decoding as Likelihood-Utility Alignment. EACL (Findings) (2023)
Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning. CoRR (2023)
Javier González Hernández, Cliff Wong, Zelalem Gero, Jass Bagga, Risa Ueno, Isabel Chien, Eduard Oravkin, Emre Kiciman, Aditya V. Nori, Roshanthi Weerasinghe, Rom S. Leidner, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models. CoRR (2023)
Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Ness, John Crawford, Emre Kiciman, Ranveer Chandra
Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science. CoRR (2023)
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. ICLR (2023)
Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. CoRR (2023)
Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR (2023)
Emre Kiciman
An Open-Source Suite of Causal AI Tools and Libraries. WSDM (2023)
Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
Causal Modeling of Soil Processes for Improved Generalization. CoRR (2022)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. CoRR (2022)
Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings, Robert West
Language Model Decoding as Likelihood-Utility Alignment. CoRR (2022)
Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD (2022)
Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
The KDD 2022 Workshop on Causal Discovery (CD2022). KDD (2022)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. AAAI (2022)
Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems. CoRR (2022)
Yue Gao, Jack W. Stokes, Manoj Ajith Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman
I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation. MILCOM (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
Deep End-to-end Causal Inference. CoRR (2022)
Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
Causal Inference in the Presence of Interference in Sponsored Search Advertising. Frontiers Big Data 5 (2022)
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. CoRR (2022)
Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
Invariant Language Modeling. EMNLP (2022)
Kristina Gligoric, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study. CoRR (2021)
Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
Invariant Language Modeling. CoRR (2021)
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. WSDM (2021)
Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. WSDM (2021)
Kristina Gligoric, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
Formation of Social Ties Influences Food Choice: A Campus-wide Longitudinal Study. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Amit Sharma, Vasilis Syrgkanis, Cheng Zhang, Emre Kiciman
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions. CoRR (2021)
Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
Population-scale dietary interests during the COVID-19 pandemic. CoRR (2021)
Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix. CoRR (2021)
Amit Sharma, Emre Kiciman
Causal Inference and Counterfactual Reasoning. COMAD/CODS (2020)
Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. CD@KDD (2020)
Dana M. Nguyen, Alexandra Olteanu, Emre Kiciman
External Information Sharing on Health Forums: An Exploration. ICWSM (2020)
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. CoRR (2020)
Amit Sharma, Emre Kiciman
DoWhy: An End-to-End Library for Causal Inference. CoRR (2020)
Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman
Causal Inference in the Presence of Interference in Sponsored Search Advertising. CoRR (2020)
Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan
AvE: Assistance via Empowerment. NeurIPS (2020)
Sanjaya Wijeratne, Horacio Saggion, Emre Kiciman, Amit P. Sheth
Emoji Understanding and Applications in Social Media: Lay of the Land and Special Issue Introduction. ACM Trans. Soc. Comput. 3 (2) (2020)
Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
Novel Human-Object Interaction Detection via Adversarial Domain Generalization. CoRR (2020)
Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan
AvE: Assistance via Empowerment. CoRR (2020)
Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
Security and Machine Learning in the Real World. CoRR (2020)
Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. CoRR (2020)
Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. KDD (2019)
Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WSDM (2019)
Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. CD@KDD (2019)
Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui
Introduction to the Special Section on Advances in Causal Discovery and Inference. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WWW (Companion Volume) (2019)
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. Frontiers Big Data 2 (2019)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. CoRR (2019)
Mehrdad Farajtabar, Emre Kiciman, Girish Nathan, Ryen W. White
Modeling behaviors and lifestyle with online and social data for predicting and analyzing sleep and exercise quality. Int. J. Data Sci. Anal. 8 (4) (2019)
Maggie Makar, Adith Swaminathan, Emre Kiciman
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. AAAI (2019)
Koustuv Saha, Benjamin Sugar, John Torous, Bruno D. Abrahao, Emre Kiciman, Munmun De Choudhury
A Social Media Study on the Effects of Psychiatric Medication Use. ICWSM (2019)
Emre Kiciman, Amit Sharma
Causal Inference and Counterfactual Reasoning (3hr Tutorial). WSDM (2019)
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. HCOMP (2019)
Alexandra Olteanu, Emre Kiciman, Carlos Castillo
A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. WSDM (2018)
Emre Kiciman, Jorgen Thelin
Answering What If, Should I, and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data. DESIRES (2018)
Emre Kiciman, Scott Counts, Melissa Gasser
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use. ICWSM (2018)
Munmun De Choudhury, Emre Kiciman
Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health. AI Mag. 39 (3) (2018)
Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu
Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. CD@KDD (2018)
Lin Liu, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash
Guest Editorial: Special Issue on Causal Discovery 2017. Int. J. Data Sci. Anal. 6 (1) (2018)
Emre Kiciman
Causal Inference over Longitudinal Data to Support Expectation Exploration. SIGIR (2018)
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Sreejith Menon, Jonathan P. Crall, Jon Van Oast, Emre Kiciman, Lucas Joppa
Wildbook: Crowdsourcing, computer vision, and data science for conservation. CoRR (2017)
Munmun De Choudhury, Emre Kiciman
The Language of Social Support in Social Media and Its Effect on Suicidal Ideation Risk. ICWSM (2017)
Alexandra Olteanu, Onur Varol, Emre Kiciman
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media. CSCW (2017)
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
Information dissemination in heterogeneous-intent networks. WebSci (2016)
Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media. CSCW (2016)
Christopher Amato, Ofra Amir, Joanna Bryson, Barbara J. Grosz, Bipin Indurkhya, Emre Kiciman, Takashi Kido, William F. Lawless, Miao Liu, Braden McDorman, Ross Mead, Frans A. Oliehoek, Andrew Specian, Georgi Stojanov, Keiki Takadama
Reports of the AAAI 2016 Spring Symposium Series. AI Mag. 37 (4) (2016)
Alexandra Olteanu, Onur Varol, Emre Kiciman
Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines. ICWSM (2016)
Andrés Monroy-Hernández, Shelly Farnham, Emre Kiciman, Scott Counts, Munmun De Choudhury
Smart Societies: From Citizens as Sensors to Collective Action. CoRR (2016)
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media. CHI (2016)
Emre Kiciman, Matthew Richardson
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. KDD (2015)
Paul N. Bennett, Emre Kiciman
Persona-ization: Searching on Behalf of Others. SPS@SIGIR (2015)
Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Scott Counts
The New War Correspondents: the Rise of Civic Media Curation in Urban Warfare. CoRR (2015)
Emre Kiciman
Towards Learning a Knowledge Base of Actions from Experiential Microblogs. AAAI Spring Symposia (2015)
Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
Narcotweets: Social Media in Wartime. CoRR (2015)
Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
Entity linking at the tail: sparse signals, unknown entities, and phrase models. WSDM (2014)
Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
Discussion Graphs: Putting Social Media Analysis in Context. ICWSM (2014)
Andrés Monroy-Hernández, Shelly Farnham, Emre Kiciman, Scott Counts, Munmun De Choudhury
Smart societies: from citizens as sensors to collective action. Interactions 20 (4) (2013)
Stephen Guo, Ming-Wei Chang, Emre Kiciman
To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. HLT-NAACL (2013)
Yuzhe Jin, Kuansan Wang, Emre Kiciman
Sparse lexical representation for semantic entity resolution. ICASSP (2013)
Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Scott Counts
The new war correspondents: he rise of civic media curation in urban warfare. CSCW (2013)
Emre Kiciman
OMG, I Have to Tweet that! A Study of Factors that Influence Tweet Rates. ICWSM (2012)
Huizhong Duan, Emre Kiciman, ChengXiang Zhai
Click patterns: an empirical representation of complex query intents. CIKM (2012)
Bimal Viswanath, Emre Kiciman, Stefan Saroiu
Keeping information safe from social networking apps. WOSN (2012)
Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
Narcotweets: Social Media in Wartime. ICWSM (2012)
Emre Kiciman, V. Benjamin Livshits, Madanlal Musuvathi, Kevin C. Webb
Fluxo: a system for internet service programming by non-expert developers. SoCC (2010)
Emre Kiciman, V. Benjamin Livshits
AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications. ACM Trans. Web 4 (4) (2010)
George Danezis, Tuomas Aura, Shuo Chen, Emre Kiciman
How to Share Your Favourite Search Results while Preserving Privacy and Quality. Privacy Enhancing Technologies (2010)
Alexander Rasmussen, Emre Kiciman, V. Benjamin Livshits, Madanlal Musuvathi
Improving the responsiveness of internet services with automatic cache placement. EuroSys (2009)
Emre Kiciman, Benjamin Livshits, Madanlal Musuvathi
CatchAndRetry: extending exceptions to handle distributed system failures and recovery. PLOS@SOSP (2009)
Emre Kiciman, V. Benjamin Livshits, Madanlal Musuvathi
FLUXO: A Simple Service Compiler. HotOS (2009)
V. Benjamin Livshits, Emre Kiciman
Doloto: code splitting for network-bound web 2.0 applications. SIGSOFT FSE (2008)
John C. Platt, Emre Kiciman, David A. Maltz
Fast Variational Inference for Large-scale Internet Diagnosis. NIPS (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Emre Kiciman