Ann B. Lee

According to our database1, Ann B. Lee authored at least 21 papers between 2000 and 2024.

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Bibliography

2024
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm.
CoRR, 2022

Calibrated Predictive Distributions via Diagnostics for Conditional Coverage.
CoRR, 2022

2021
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression.
CoRR, 2021

Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones.
CoRR, 2021

Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification.
CoRR, 2021

Diagnostics for conditional density models and Bayesian inference algorithms.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning.
CoRR, 2020

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference.
Astron. Comput., 2020

Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting.
Proceedings of the 37th International Conference on Machine Learning, 2020

Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018
RFCDE: Random Forests for Conditional Density Estimation.
CoRR, 2018

2014
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2011
An Optimal Transportation Approach for Nuclear Structure-Based Pathology.
IEEE Trans. Medical Imaging, 2011

2007
Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2006
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameterization.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

2003
The Nonlinear Statistics of High-Contrast Patches in Natural Images.
Int. J. Comput. Vis., 2003

2002
Toward a Full Probability Model of Edges in Natural Images.
Proceedings of the Computer Vision, 2002

2001
Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model.
Int. J. Comput. Vis., 2001

2000
Statistics of Range Images.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000


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