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2020 – today
- 2024
[c9]Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee:
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. ICML 2024- [i9]Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee:
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. CoRR abs/2402.05330 (2024) - 2023
- [c8]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: 2960-2974 - 2022
- [i8]Biprateep Dey, David Zhao, Jeffrey A. Newman, Brett H. Andrews, Rafael Izbicki
, Ann B. Lee:
Calibrated Predictive Distributions via Diagnostics for Conditional Coverage. CoRR abs/2205.14568 (2022) - [i7]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 abs/2205.15680 (2022) - 2021
- [c7]David Zhao, Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee:
Diagnostics for conditional density models and Bayesian inference algorithms. UAI 2021: 1830-1840 - [i6]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 abs/2107.03920 (2021) - [i5]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 abs/2109.12029 (2021) - [i4]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 abs/2110.15209 (2021) - 2020
- [j5]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: 100362 (2020) - [c6]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: 3349-3361 - [c5]Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee:
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. ICML 2020: 2323-2334 - [i3]Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee:
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. CoRR abs/2002.10399 (2020) - [i2]Trey McNeely, Niccolò Dalmasso, Kimberly M. Wood, Ann B. Lee:
Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning. CoRR abs/2010.05783 (2020)
2010 – 2019
- 2018
- [i1]Taylor Pospisil, Ann B. Lee:
RFCDE: Random Forests for Conditional Density Estimation. CoRR abs/1804.05753 (2018) - 2014
- [c4]Rafael Izbicki, Ann B. Lee, Chad Schafer:
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation. AISTATS 2014: 420-429 - 2011
- [j4]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): 621-631 (2011)
2000 – 2009
- 2007
- [c3]Ann B. Lee, Boaz Nadler:
Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data. AISTATS 2007: 259-266 - 2006
- [j3]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): 1393-1403 (2006) - 2003
- [j2]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): 83-103 (2003) - 2002
- [c2]Kim Steenstrup Pedersen, Ann B. Lee:
Toward a Full Probability Model of Edges in Natural Images. ECCV (1) 2002: 328-342 - 2001
- [j1]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): 35-59 (2001) - 2000
- [c1]Jinggang Huang, Ann B. Lee, David Mumford:
Statistics of Range Images. CVPR 2000: 1324-1331
Coauthor Index
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last updated on 2024-09-04 01:23 CEST by the dblp team
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