Alex Kale

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Decision Making Under Uncertainty

Learning Models

Causal Inferences

Interactive Visual

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Alex Kale, Ziyang Guo, Xiaoli Qiao, Jeffrey Heer, Jessica Hullman
EVM: Incorporating Model Checking into Exploratory Visual Analysis. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Alex Kale, Danni Liu, Maria Gabriela Ayala, Harper Schwab, Andrew McNutt
What Can Interactive Visualization do for Participatory Budgeting in Chicago? CoRR (2024)
Jessica Hullman, Alex Kale, Jason D. Hartline
Decision Theoretic Foundations for Experiments Evaluating Human Decisions. CoRR (2024)
Alex Kale, Sarah Lee, Terrance Goan, Elizabeth Tipton, Jessica Hullman
MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis. CHI (2023)
Abhraneel Sarma, Alex Kale, Michael Jongho Moon, Nathan Taback, Fanny Chevalier, Jessica Hullman, Matthew Kay
multiverse: Multiplexing Alternative Data Analyses in R Notebooks. CHI (2023)
Alex Kale, Sarah Lee, Terrance Goan, Elizabeth Tipton, Jessica Hullman
MetaExplorer: Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis. CoRR (2023)
Alex Kale, Ziyang Guo, Xiaoli Qiao, Jeffrey Heer, Jessica Hullman
EVM: Incorporating Model Checking into Exploratory Visual Analysis. CoRR (2023)
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. CoRR (2022)
Alex Kale, Yifan Wu, Jessica Hullman
Causal Support: Modeling Causal Inferences with Visualizations. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. KDD (2022)
Yang Liu, Alex Kale, Tim Althoff, Jeffrey Heer
Boba: Authoring and Visualizing Multiverse Analyses. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Alex Kale, Yifan Wu, Jessica Hullman
Causal Support: Modeling Causal Inferences with Visualizations. CoRR (2021)
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
GAM Changer: Editing Generalized Additive Models with Interactive Visualization. CoRR (2021)
Alex Kale, Matthew Kay, Jessica Hullman
Visual Reasoning Strategies for Effect Size Judgments and Decisions. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Yang Liu, Alex Kale, Tim Althoff, Jeffrey Heer
Boba: Authoring and Visualizing Multiverse Analyses. CoRR (2020)
Alex Kale, Matthew Kay, Jessica Hullman
Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions. CoRR (2020)
Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay
In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Alex Kale, Matthew Kay, Jessica Hullman
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CHI (2019)
Alex Kale, Francis Nguyen, Matthew Kay, Jessica Hullman
Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Alex Kale, Matthew Kay, Jessica Hullman
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CoRR (2019)
Matthew Conlen, Alex Kale, Jeffrey Heer
Capture & Analysis of Active Reading Behaviors for Interactive Articles on the Web. Comput. Graph. Forum 38 (3) (2019)