notes

All my research notes are in the blog. Topics include:

Variational Methods — VAEs, semi-supervised learning, Gumbel-Softmax, RBMs

Causal ML — Causal representation learning, independent causal mechanisms, causal RL, domain adaptation

Optimization — Gradient descent, subgradient methods, Frank-Wolfe, convex duality

Neural Networks — Transformers, sparse networks, backprop through stochastic neurons