Video
ChaCha for Online AutoML
In this work, we propose the ChaCha (Champion-Challengers) algorithm for making an online choice of hyperparameters in online learning settings. This work is published in ICML 2021. Python notebook demo: https://github.com/microsoft/FLAML/blob/main/notebook/autovw.ipynb
Microsoft Research Blog
How can generative adversarial networks learn real-life distributions easily
A Generative adversarial network, or GAN, is one of the most powerful machine learning models proposed by Goodfellow et al. (opens in new tab) for learning to generate samples from complicated real-world distributions. GANs have…
Publication
Two-sided Kirszbraun Theorem
Publication