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We publish
introductory posts
for beginners and
paper digests
for experienced people on a tight schedule. These provide learning and reading paths respectively.
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Our take on ICLR 2022 - Part 1
ICLR is one of the most important and prestigious conferences in the ML community. It spans all ML topics, from embeddings to Graph neural …
Certified error rates for neural networks
Adversarial training has been shown to improve robustness of neural networks to certain classes of data perturbations. Despite constant …
Natural, Trust Region and Proximal Policy Optimization
We present an overview of the theory behind three popular and related algorithms for gradient based policy optimization: natural policy …
Cross-validation: what does it estimate?
In
Cross-validation: what does it estimate and how well does it do it?
Bates et al. focus on cross validation for error estimation and show …
Solving PDEs With Neural Networks
We discuss some current trends in applying ML to the solution of differential equations, and the difficulties faced. We focus on a family of …
