14 citations · 14 across the 6 of their papers we have counts for
5 papers · 1 filter
Adaptive Symmetrization of the KL Divergence
Omri Ben-Dov, Luiz F. O. Chamon
The forward Kullback-Leibler (KL) divergence is a ubiquitous objective for fitting a parameterized distribution to samples due to its tractability and equivalence to maximum likeli…
Minority Collective Action for User-Side Fairness
Omri Ben-Dov, Samira Samadi, Amartya Sanyal +1
Machine learning models often preserve biases present in training data, leading to unfair treatment of certain minority groups. Despite an array of existing firm-side bias mitigati…
The Role of Learning Algorithms in Collective Action
Omri Ben-Dov, Jake Fawkes, Samira Samadi +1
Collective action in machine learning is the study of the control that a coordinated group can have over machine learning algorithms. While previous research has concentrated on as…
Adversarial Likelihood Estimation With One-Way Flows
Omri Ben-Dov, Pravir Singh Gupta, Victoria Abrevaya +2
Generative Adversarial Networks (GANs) can produce high-quality samples, but do not provide an estimate of the probability density around the samples. However, it has been noted th…
LED: Latent Variable-based Estimation of Density
Omri Ben-Dov, Pravir Singh Gupta, Victoria Fernandez Abrevaya +2
Modern generative models are roughly divided into two main categories: (1) models that can produce high-quality random samples, but cannot estimate the exact density of new data po…