Gregory Plumb

According to our database, Gregory Plumb authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms.

Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar

CoRR, 2023

2022

Finding and Fixing Spurious Patterns with Explanations.

Gregory Plumb, Marco Túlio Ribeiro, Ameet Talwalkar

Trans. Mach. Learn. Res., 2022

Evaluating Systemic Error Detection Methods using Synthetic Images.

Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar

CoRR, 2022

Interpretable machine learning: moving from mythos to diagnostics.

Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

Commun. ACM, 2022

Use-Case-Grounded Simulations for Explanation Evaluation.

Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sanity Simulations for Saliency Methods.

Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

Proceedings of the International Conference on Machine Learning, 2022

2021

Towards Connecting Use Cases and Methods in Interpretable Machine Learning.

Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

CoRR, 2021

A Learning Theoretic Perspective on Local Explainability.

Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Regularizing Black-box Models for Improved Interpretability.

Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Explaining Groups of Points in Low-Dimensional Representations.

Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version).

Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar

CoRR, 2019

Regularizing Black-box Models for Improved Interpretability.

Gregory Plumb, Maruan Al-Shedivat, Eric P. Xing, Ameet Talwalkar

CoRR, 2019

2018

Supervised Local Modeling for Interpretability.

Gregory Plumb, Denali Molitor, Ameet Talwalkar

CoRR, 2018

Model Agnostic Supervised Local Explanations.

Gregory Plumb, Denali Molitor, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations.

Gregory Plumb, Lindsay Clark, Sterling C. Johnson, Vikas Singh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2015

SnFFT: a Julia toolkit for Fourier analysis of functions over permutations.

Gregory Plumb, Deepti Pachauri, Risi Kondor, Vikas Singh

J. Mach. Learn. Res., 2015