215 citations · 551 across the 33 of their papers we have counts for
10 papers · 1 filter
Pre-registration for Predictive Modeling
Jake M. Hofman, Angelos Chatzimparmpas, Amit Sharma +2
Amid rising concerns of reproducibility and generalizability in predictive modeling, we explore the possibility and potential benefits of introducing pre-registration to the field.…
Designing Shared Information Displays for Agents of Varying Strategic Sophistication
Dongping Zhang, Jason Hartline, Jessica Hullman
Data-driven predictions are often perceived as inaccurate in hindsight due to behavioral responses. In this study, we explore the role of interface design choices in shaping indivi…
REFORMS: Reporting Standards for Machine Learning Based Science
Sayash Kapoor, Emily Cantrell, Kenny Peng +16
Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and ge…
EVM: Incorporating Model Checking into Exploratory Visual Analysis
Alex Kale, Ziyang Guo, Xiao Li Qiao +2
Visual analytics (VA) tools support data exploration by helping analysts quickly and iteratively generate views of data which reveal interesting patterns. However, these tools seld…
Artificial Intelligence and Aesthetic Judgment
Jessica Hullman, Ari Holtzman, Andrew Gelman
Generative AIs produce creative outputs in the style of human expression. We argue that encounters with the outputs of modern generative AI models are mediated by the same kinds of…
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research
Hariharan Subramonyam, Jessica Hullman
Visualization for machine learning (VIS4ML) research aims to help experts apply their prior knowledge to develop, understand, and improve the performance of machine learning models…