Hypergradient descent and Universal Probabilistic Programming
Online Learning Rate Adaptation with Hypergradient Descent: We introduce a general method for improving the convergence rate of gradient-based optimizers that is easy to implement and works well in practice. We demonstrate the effectiveness of…
Sharing Updatable Models (SUM) on Blockchain
A framework to host and train publicly available machine learning models while crowdsourcing a dataset. Ideally, using a model for prediction is free. An incentive mechanism validates added data.
Decentralized & Collaborative AI on Blockchain [1.0]
We propose a framework for participants to collaboratively build a dataset and use smart contracts to host a continuously updated model.
Dissecting Racial Bias in an Algorithm that Guides Health Decisions for Millions
For millions of patients across the US, hospitals use commercial risk scores to target those needing extra help with complex health needs. We examine a widely used commercial algorithm for racial bias. Thanks to a…