Machine Learning

Feature Stores: The Data Side of ML Pipelines

We need a principled way of managing state in real-time ML pipelines.

Secure Collaborative XGBoost on Encrypted Data

A library for multi-party training and inference of…

Making Decision Trees Accurate Again: Explaining what Explainable AI did not

Combining neural networks…

The MC² platform and applications in Telecom

The RISELab (UC Berkeley) in collaboration with Ericsson

Scaling Experiments at Berkeley AI Research

As AI research becomes more compute heavy, AI researchers…

Scalable AutoML for Time Series Prediction Using Ray and Analytics Zoo

Shengsheng Huang…

Functional RL with Keras and Tensorflow Eager

We explore a functional paradigm for implementing…

Cutting edge hyperparameter tuning with Ray Tune

Introducing Ray Tune, the state-of-the-art…

Two missing links in Serverless Computing: Stateful Computation and Placement Control