Christina Greer

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 8

Top Topics

Development Methodologies

Exponential Distributions

Visual Appearance

Top Venues

Publications

Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine Heller, Vinodkumar Prabhakaran
Evaluation Gaps in Machine Learning Practice. FAccT (2022)
Alex Bäuerle, Aybuke Gul Turker, Ken Burke, Osman Aka, Timo Ropinski, Christina Greer, Mani Varadarajan
Visual Identification of Problematic Bias in Large Label Spaces. CoRR (2022)
Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
Evaluation Gaps in Machine Learning Practice. CoRR (2022)
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. FAccT (2021)
Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran
Thinking Beyond Distributions in Testing Machine Learned Models. CoRR (2021)
Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell
Measuring Model Biases in the Absence of Ground Truth. AIES (2021)
Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell
Measuring Model Biases in the Absence of Ground Truth. CoRR (2021)
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. CoRR (2020)