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08/14/2023
A Unifying Generator Loss Function for Generative Adversarial Networks
A unifying α-parametrized generator loss function is introduced for a du...
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06/20/2022
Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures
Designing machine learning algorithms that are accurate yet fair, not di...
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05/18/2022
Neural ODE Control for Trajectory Approximation of Continuity Equation
We consider the controllability problem for the continuity equation, cor...
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03/09/2022
Renyi Fair Information Bottleneck for Image Classification
We develop a novel method for ensuring fairness in machine learning whic...
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03/04/2022
A Small Gain Analysis of Single Timescale Actor Critic
We consider a version of actor-critic which uses proportional step-sizes...
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01/03/2022
Submodular Maximization with Limited Function Access
We consider a class of submodular maximization problems in which decisio...
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10/01/2020
A Finite Memory Interacting Pólya Contagion Network and its Approximating Dynamical Systems
We introduce a new model for contagion spread using a network of interac...
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07/12/2020
Universal Approximation Power of Deep Neural Networks via Nonlinear Control Theory
In this paper, we explain the universal approximation capabilities of de...
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06/03/2020
Rényi Generative Adversarial Networks
We propose a loss function for generative adversarial networks (GANs) us...
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07/24/2019
