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05/30/2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
Achieving a balance between image quality (precision) and diversity (rec...
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02/01/2023
Training Normalizing Flows with the Precision-Recall Divergence
Generative models can have distinct mode of failures like mode dropping ...
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01/30/2023
Robust empirical risk minimization via Newton's method
We study a variant of Newton's method for empirical risk minimization, w...
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01/22/2022
The Many Faces of Adversarial Risk
Adversarial risk quantifies the performance of classifiers on adversaria...
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12/05/2019
Adversarial Risk via Optimal Transport and Optimal Couplings
The accuracy of modern machine learning algorithms deteriorates severely...
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10/10/2019
Active Learning with Importance Sampling
We consider an active learning setting where the algorithm has access to...
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02/13/2018
Graph-Based Ascent Algorithms for Function Maximization
We study the problem of finding the maximum of a function defined on the...
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02/12/2017