Sharing our recent work, now accepted at NeurIPS: Functional Gradient Descent with Adaptive Representations. Functional GD algorithms generally outperform neural nets, but are hard to accurately implement. This is because functional gradients are infinite-dimensional, and therefore must be approxima
