Search Results - "Kiciman, Emre"

Conjunction of factors triggering waves of seasonal influenza by Chattopadhyay, Ishanu, Kiciman, Emre, Elliott, Joshua W, Shaman, Jeffrey L, Rzhetsky, Andrey

“…Using several longitudinal datasets describing putative factors affecting influenza incidence and clinical data on the disease and health status of over 150…”
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Population-scale dietary interests during the COVID-19 pandemic by Gligorić, Kristina, Chiolero, Arnaud, Kıcıman, Emre, White, Ryen W., West, Robert

“…The SARS-CoV-2 virus has altered people’s lives around the world. Here we document population-wide shifts in dietary interests in 18 countries in 2020, as…”
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Online and Social Media Data As an Imperfect Continuous Panel Survey by Diaz, Fernando, Gamon, Michael, Hofman, Jake M, Kıcıman, Emre, Rothschild, David

“…There is a large body of research on utilizing online activity as a survey of political opinion to predict real world election outcomes. There is considerably…”
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Causal Inference in the Presence of Interference in Sponsored Search Advertising by Nabi, Razieh, Pfeiffer, Joel, Charles, Denis, Kıcıman, Emre

“…In classical causal inference, inferring cause-effect relations from data relies on the assumption that units are independent and identically distributed. This…”
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Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action by Gligorić, Kristina, Zbinden, Robin, Chiolero, Arnaud, Kıcıman, Emre, White, Ryen W, Horvitz, Eric, West, Robert

“…Although diets influence health and the environment, measuring and changing nutrition is challenging. Traditional measurement methods face challenges, and…”
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Sensitivity analysis for causality in observational studies for regulatory science by Díaz, Iván, Lee, Hana, Kıcıman, Emre, Schenck, Edward J, Akacha, Mouna, Follman, Dean, Ghosh, Debashis

“…The United States Congress passed the 21st Century Cures Act mandating the development of Food and Drug Administration guidance on regulatory use of real-world…”
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A causal roadmap for generating high-quality real-world evidence by Dang, Lauren E, Gruber, Susan, Lee, Hana, Dahabreh, Issa J, Stuart, Elizabeth A, Williamson, Brian D, Wyss, Richard, Díaz, Iván, Ghosh, Debashis, Kıcıman, Emre, Alemayehu, Demissie, Hoffman, Katherine L, Vossen, Carla Y, Huml, Raymond A, Ravn, Henrik, Kvist, Kajsa, Pratley, Richard, Shih, Mei-Chiung, Pennello, Gene, Martin, David, Waddy, Salina P, Barr, Charles E, Akacha, Mouna, Buse, John B, van der Laan, Mark, Petersen, Maya

“…Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance,…”
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Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data by Saha, Koustuv, Torous, John, Kiciman, Emre, De Choudhury, Munmun

“…Antidepressants are known to show heterogeneous effects across individuals and conditions, posing challenges to understanding their efficacy in mental health…”
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Detecting application-level failures in component-based Internet services by Kiciman, E., Fox, A.

“…Most Internet services (e-commerce, search engines, etc.) suffer faults. Quickly detecting these faults can be the largest bottleneck in improving availability…”
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries by Olteanu, Alexandra, Castillo, Carlos, Diaz, Fernando, Kıcıman, Emre

“…Social data in digital form-including user-generated content, expressed or implicit relations between people, and behavioral traces-are at the core of popular…”
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I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation by Gao, Yue, Stokes, Jack W., Prasad, Manoj Ajith, Marshall, Andrew T., Fawaz, Kassem, Kiciman, Emre

“…A backdoor attack seeks to introduce a backdoor into a machine learning model during training. A backdoored model performs normally on regular inputs but…”
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Measuring algorithmically infused societies by Wagner, Claudia, Strohmaier, Markus, Olteanu, Alexandra, Kıcıman, Emre, Contractor, Noshir, Eliassi-Rad, Tina

“…It has been the historic responsibility of the social sciences to investigate human societies. Fulfilling this responsibility requires social theories,…”
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Counterfactual (Non-)identifiability of Learned Structural Causal Models by Nasr-Esfahany, Arash, Kiciman, Emre

“…Recent advances in probabilistic generative modeling have motivated learning Structural Causal Models (SCM) from observational datasets using deep conditional…”
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DoWhy: An End-to-End Library for Causal Inference by Sharma, Amit, Kiciman, Emre

“…In addition to efficient statistical estimators of a treatment's effect, successful application of causal inference requires specifying assumptions about the…”
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Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization by Kaur, Jivat Neet, Kiciman, Emre, Sharma, Amit

“…Recent empirical studies on domain generalization (DG) have shown that DG algorithms that perform well on some distribution shifts fail on others, and no…”
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Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization by Sharma, Somya, Sharma, Swati, Padilha, Rafael, Kiciman, Emre, Chandra, Ranveer

“…Monitoring organic matter is pivotal for maintaining soil health and can help inform sustainable soil management practices. While sensor-based soil information…”
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Sparse lexical representation for semantic entity resolution by Yuzhe Jin, Kuansan Wang, Kiciman, Emre

“…This paper addresses the problem of semantic entity resolution (SER), which aims to determine whether some or none of the entities in a knowledge base is…”
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Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning by Abdali, Sara, Parikh, Anjali, Lim, Steve, Kiciman, Emre

“…Microsoft Windows Feedback Hub is designed to receive customer feedback on a wide variety of subjects including critical topics such as power and battery…”
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Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems by Bansal, Parikshit, Prabhu, Yashoteja, Kiciman, Emre, Sharma, Amit

“…Given a user's input text, text-matching recommender systems output relevant items by comparing the input text to available items' description, such as…”
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Defending Against Indirect Prompt Injection Attacks With Spotlighting by Hines, Keegan, Lopez, Gary, Hall, Matthew, Zarfati, Federico, Zunger, Yonatan, Kiciman, Emre

“…Large Language Models (LLMs), while powerful, are built and trained to process a single text input. In common applications, multiple inputs can be processed by…”
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