14 citations · 14 across the 6 of their papers we have counts for
6 papers
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…
Solving the thoracic inverse problem in the fruit fly
Arion Pons, Illy Perl, Omri Ben-Dov +2
In many insect species, the thoracic structure plays a crucial role in enabling flight. In the dipteran indirect flight mechanism, the thorax acts as a transmission link between 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…