An Investigation into the Role of Author Demographics in ICLR Participation and Review

no code implementations • 29 Sep 2021 • Keshav Ganapathy, Emily Liu, Zain Zarger, Gowthami Somepalli, Micah Goldblum, Tom Goldstein

As machine learning conferences grow rapidly, many are concerned that individuals will be left behind on the basis of traits such as gender and geography.

Analyzing the Machine Learning Conference Review Process

no code implementations • 24 Nov 2020 • David Tran, Alex Valtchanov, Keshav Ganapathy, Raymond Feng, Eric Slud, Micah Goldblum, Tom Goldstein

Members of the machine learning community are likely to overhear allegations ranging from randomness of acceptance decisions to institutional bias.

BIG-bench Machine Learning

An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

1 code implementation • 11 Oct 2020 • David Tran, Alex Valtchanov, Keshav Ganapathy, Raymond Feng, Eric Slud, Micah Goldblum, Tom Goldstein

Members of the machine learning community are likely to overhear allegations ranging from randomness of acceptance decisions to institutional bias.

BIG-bench Machine Learning

A Study of Genetic Algorithms for Hyperparameter Optimization of Neural Networks in Machine Translation

1 code implementation • 15 Sep 2020 • Keshav Ganapathy

With neural networks having demonstrated their versatility and benefits, the need for their optimal performance is as prevalent as ever.

Hyperparameter Optimization Machine Translation +1