Luke Guerdan - RankMe

21 papers A* 1B 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bridging Prediction and Intervention Problems in Social Systems. CoRR Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson
2025	J	`jnl`	Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas. CoRR Luke Guerdan, Justin Whitehouse, Kimberly Le Truong, Kenneth Holstein, Zhiwei Steven Wu
2025	J	`jnl`	Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks. CoRR Luke Guerdan, Devansh Saxena, Stevie Chancellor, Zhiwei Steven Wu, Kenneth Holstein
2025	J	`jnl`	Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks. Proc. ACM Hum. Comput. Interact. Luke Guerdan, Devansh Saxena, Stevie Chancellor, Zhiwei Steven Wu, Kenneth Holstein
2025	J	`jnl`	Validating LLM-as-a-Judge Systems in the Absence of Gold Labels. CoRR Luke Guerdan, Solon Barocas, Kenneth Holstein, Hanna M. Wallach, Zhiwei Steven Wu, Alexandra Chouldechova
2024	J	`jnl`	A Framework for Evaluating LLMs Under Task Indeterminacy. CoRR Luke Guerdan, Hanna M. Wallach, Solon Barocas, Alexandra Chouldechova
2024	—	`conf`	Causal-HRI: Causal Learning for Human-Robot Interaction. HRI (Companion) Jiaee Cheong, Nikhil Churamani, Luke Guerdan, Tabitha Edith Lee, Zhao Han, Hatice Gunes
2024	A*	`conf`	Predictive Performance Comparison of Decision Policies Under Confounding. ICML Luke Guerdan, Amanda Coston, Ken Holstein, Steven Wu
2024	J	`jnl`	Predictive Performance Comparison of Decision Policies Under Confounding. CoRR Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu
2023	—	`conf`	Counterfactual Prediction Under Outcome Measurement Error. FAccT Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu
2023	J	`jnl`	Counterfactual Prediction Under Outcome Measurement Error. CoRR Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu
2023	B	`conf`	Federated Continual Learning for Socially Aware Robotics. RO-MAN Luke Guerdan, Hatice Gunes
2023	—	`conf`	Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. FAccT Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, Kenneth Holstein
2023	J	`jnl`	Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. CoRR Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, Kenneth Holstein
2023	—	`conf`	Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CI Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Kate Glazko, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Haiyi Zhu, Kenneth Holstein
2023	J	`jnl`	Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CoRR Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Kate Glazko, Haiyi Zhu, Kenneth Holstein
2022	J	`jnl`	Decentralized Robot Learning for Personalization and Privacy. CoRR Luke Guerdan, Hatice Gunes
2022	J	`jnl`	Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. CoRR Anna Kawakami, Luke Guerdan, Yang Cheng, Anita Sun, Alison Hu, Kate Glazko, Nikos Aréchiga, Matthew L. Lee, Scott A. Carter, Haiyi Zhu, Kenneth Holstein
2021	—	`conf`	Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions. ICCVW Luke Guerdan, Alex Raymond, Hatice Gunes
2021	J	`jnl`	Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions. CoRR Luke Guerdan, Alex Raymond, Hatice Gunes
2019	—	`conf`	Extracting Motion-Related Subspaces from EEG in Mobile Brain/Body Imaging Studies using Source Power Comodulation. NER Lukas Gehrke, Luke Guerdan, Klaus Gramann