Canal, Gregory

10 publications

NeurIPSW 2024 Decision-Driven Calibration for Cost-Sensitive Uncertainty Quantification Gregory Canal, Vladimir Leung, John J. Guerrerio, Philip Sage, I-Jeng Wang

DMLR 2024 LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D Nowak

ICML 2023 Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D Nowak, Yixuan Li

NeurIPSW 2023 LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Yinglun Zhu, Stephen Mussmann, Simon Shaolei Du, Jeff Bilmes, Kevin Jamieson, Robert D Nowak

NeurIPS 2022 One for All: Simultaneous Metric and Preference Learning over Multiple Users Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak

AISTATS 2021 Feedback Coding for Active Learning Gregory Canal, Matthieu Bloch, Christopher Rozell

AISTATS 2021 Variational Autoencoder with Learned Latent Structure Marissa Connor, Gregory Canal, Christopher Rozell

AAAI 2020 Active Ordinal Querying for Tuplewise Similarity Learning Gregory Canal, Stefano Fenu, Christopher Rozell

NeurIPS 2020 Generative Causal Explanations of Black-Box Classifiers Matthew O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark Davenport

ICML 2019 Active Embedding Search via Noisy Paired Comparisons Gregory Canal, Andy Massimino, Mark Davenport, Christopher Rozell