Muni Sreenivas Pydi | DeepAI

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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...

0 Alexandre Verine, et al. ∙

∙ 02/01/2023

Training Normalizing Flows with the Precision-Recall Divergence

Generative models can have distinct mode of failures like mode dropping ...

0 Alexandre Verine, et al. ∙

∙ 01/30/2023

Robust empirical risk minimization via Newton's method

We study a variant of Newton's method for empirical risk minimization, w...

0 Eirini Ioannou, et al. ∙

∙ 01/22/2022

The Many Faces of Adversarial Risk

Adversarial risk quantifies the performance of classifiers on adversaria...

0 Muni Sreenivas Pydi, et al. ∙

∙ 12/05/2019

Adversarial Risk via Optimal Transport and Optimal Couplings

The accuracy of modern machine learning algorithms deteriorates severely...

0 Muni Sreenivas Pydi, et al. ∙

∙ 10/10/2019

Active Learning with Importance Sampling

We consider an active learning setting where the algorithm has access to...

0 Muni Sreenivas Pydi, et al. ∙

∙ 02/13/2018

Graph-Based Ascent Algorithms for Function Maximization

We study the problem of finding the maximum of a function defined on the...

0 Muni Sreenivas Pydi, et al. ∙

∙ 02/12/2017

Spectral Clustering via Graph Filtering: Consistency on the High-Dimensional Stochastic Block Model

Spectral clustering is amongst the most popular methods for community de...

0 Muni Sreenivas Pydi, et al. ∙

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