Diagnostics

Towards instance-wise calibration: Local amortized diagnostics and reshaping of conditional densities (LADaR)
B. Dey, D. Zhao, B. Andrews, J. Newman, Rafael Izbicki, A. Lee
March, 2025 Machine Learning: Science and Technology
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Likelihood-Free Frequentist Inference: Confidence Sets with Correct Conditional Coverage
Many areas of science make extensive use of computer simulators that implicitly encode likelihood functions of complex systems. …
N. Dalmasso, L. Masserano, D. Zhao, Rafael Izbicki, A. B. Lee
April, 2022 Submitted
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Diagnostics for Conditional Density Models and Bayesian Inference Algorithms
D. Zhao, N. Dalmasso, Rafael Izbicki, A. B. Lee
September, 2021 Proceedings of Machine Learning Research (UAI Track) paper
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Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones
Tropical cyclone (TC) intensity forecasts are issued by human forecasters who evaluate spatio-temporal observations (e.g., satellite …
T. McNeely, G. Vincent, Rafael Izbicki, K. M. Wood, A. B. Lee
February, 2021 Tackling Climate Change with Machine Learning workshop at NeurIPS 2021 (poster)
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