Will Epperson - RankMe

19 papers A* 2A 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Interactive Debugging and Steering of Multi-Agent AI Systems. CHI Will Epperson, Gagan Bansal, Victor C. Dibia, Adam Fourney, Jack Gerrits, Erkang (Eric) Zhu, Saleema Amershi
2025	J	`jnl`	Interactive Debugging and Steering of Multi-Agent AI Systems. CoRR Will Epperson, Gagan Bansal, Victor Dibia, Adam Fourney, Jack Gerrits, Erkang Zhu, Saleema Amershi
2025	J	`jnl`	Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets. CoRR Gagan Bansal, Wenyue Hua, Zezhou Huang, Adam Fourney, Amanda Swearngin, Will Epperson, Tyler Payne, Jake M. Hofman, Brendan Lucier, Chinmay Singh, Markus Mobius, Akshay Nambi, Archana Yadav, Kevin Gao, David M. Rothschild, Aleksandrs Slivkins, Daniel G. Goldstein, Hussein Mozannar, Nicole Immorlica, Maya Murad, Matthew Vogel, Subbarao Kambhampati, Eric Horvitz, Saleema Amershi
2025	J	`jnl`	Over-Relying on Reliance: Towards Realistic Evaluations of AI-Based Clinical Decision Support. CoRR Venkatesh Sivaraman, Katelyn Morrison, Will Epperson, Adam Perer
2025	J	`jnl`	Texture: Structured Exploration of Text Datasets. CoRR Will Epperson, Arpit Mathur, Adam Perer, Dominik Moritz
2024	J	`jnl`	Dead or Alive: Continuous Data Profiling for Interactive Data Science. IEEE Trans. Vis. Comput. Graph. Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer
2024	A	`conf`	Guided Statistical Workflows with Interactive Explanations and Assumption Checking. IEEE VIS Yuqi Zhang, Adam Perer, Will Epperson
2024	J	`jnl`	Guided Statistical Workflows with Interactive Explanations and Assumption Checking. CoRR Yuqi Zhang, Adam Perer, Will Epperson
2023	J	`jnl`	A Declarative Specification for Authoring Metrics Dashboards. CoRR Will Epperson, Kanit Wongsuphasawat, Allison Whilden, Fan Du, Justin Talbot
2023	J	`jnl`	Dead or Alive: Continuous Data Profiling for Interactive Data Science. CoRR Will Epperson, Vaishnavi Gorantla, Dominik Moritz, Adam Perer
2022	A*	`conf`	Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis. CHI April Yi Wang, Will Epperson, Robert A. DeLine, Steven Mark Drucker
2022	J	`jnl`	Leveraging Analysis History for Improved In Situ Visualization Recommendation. Comput. Graph. Forum Will Epperson, Doris Jung Lin Lee, Leijie Wang, Kunal Agarwal, Aditya G. Parameswaran, Dominik Moritz, Adam Perer
2022	—	`conf`	Strategies for Reuse and Sharing among Data Scientists in Software Teams. ICSE (SEIP) Will Epperson, April Yi Wang, Robert DeLine, Steven Mark Drucker
2021	J	`jnl`	RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. CoRR Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang
2021	J	`jnl`	RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. Proc. ACM Hum. Comput. Interact. Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang
2020	—	`conf`	RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CCHI Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau
2020	J	`jnl`	RECAST: Interactive Auditing of Automatic Toxicity Detection Models. CoRR Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng Chau
2019	—	`conf`	FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. VAST Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
2019	J	`jnl`	FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning. CoRR Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau