Neel Somani on Optimization: The Language of Modern AI Systems

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...
JSTOR Daily

Scalable statistical inference for averaged implicit stochastic gradient descent

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...
Quanta Magazine

Risky Giant Steps Can Solve Optimization Problems Faster

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...
InfoWorld

Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
Harvard Business School

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March ...
Devdiscourse

AI can balance data privacy and utility in clinical decision support systems

The study’s results show that enhanced generalization with suppression, the strongest de-identification strategy, ...