Ann B. Lee

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 14

Top Topics

Hypothesis Test

Statistics And Machine Learning

Tropical Cyclone

Top Venues

Astron. Comput.

Publications

Luca Masserano, Alex Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. CoRR (2024)
Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems. AISTATS (2023)
Biprateep Dey, David Zhao, Jeffrey A. Newman, Brett H. Andrews, Rafael Izbicki, Ann B. Lee
Calibrated Predictive Distributions via Diagnostics for Conditional Coverage. CoRR (2022)
Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee
Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm. CoRR (2022)
Niccolò Dalmasso, David Zhao, Rafael Izbicki, Ann B. Lee
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification. CoRR (2021)
Trey McNeely, Galen Vincent, Rafael Izbicki, Kimberly M. Wood, Ann B. Lee
Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones. CoRR (2021)
David Zhao, Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee
Diagnostics for conditional density models and Bayesian inference algorithms. UAI (2021)
Biprateep Dey, Jeffrey A. Newman, Brett H. Andrews, Rafael Izbicki, Ann B. Lee, David Zhao, Markus Michael Rau, Alex I. Malz
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression. CoRR (2021)
Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. CoRR (2020)
Trey McNeely, Niccolò Dalmasso, Kimberly M. Wood, Ann B. Lee
Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning. CoRR (2020)
Niccolò Dalmasso, Taylor Pospisil, Ann B. Lee, Rafael Izbicki, Peter E. Freeman, Alex I. Malz
Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference. Astron. Comput. 30 (2020)
Niccolò Dalmasso, Ann B. Lee, Rafael Izbicki, Taylor Pospisil, Ilmun Kim, Chieh-An Lin
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. AISTATS (2020)
Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. ICML (2020)
Taylor Pospisil, Ann B. Lee
RFCDE: Random Forests for Conditional Density Estimation. CoRR (2018)
Rafael Izbicki, Ann B. Lee, Chad Schafer
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation. AISTATS (2014)
Wei Wang, John A. Ozolek, Dejan Slepcev, Ann B. Lee, Cheng Chen, Gustavo K. Rohde
An Optimal Transportation Approach for Nuclear Structure-Based Pathology. IEEE Trans. Medical Imaging 30 (3) (2011)
Ann B. Lee, Boaz Nadler
Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data. AISTATS (2007)
Stéphane Lafon, Ann B. Lee
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameterization. IEEE Trans. Pattern Anal. Mach. Intell. 28 (9) (2006)
Ann B. Lee, Kim Steenstrup Pedersen, David Mumford
The Nonlinear Statistics of High-Contrast Patches in Natural Images. Int. J. Comput. Vis. 54 (1-3) (2003)
Kim Steenstrup Pedersen, Ann B. Lee
Toward a Full Probability Model of Edges in Natural Images. ECCV (1) (2002)
Ann B. Lee, David Mumford, Jinggang Huang
Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model. Int. J. Comput. Vis. 41 (1/2) (2001)
Jinggang Huang, Ann B. Lee, David Mumford
Statistics of Range Images. CVPR (2000)