Generalization BoundExplores the relationship between empirical risk minimization and generalization error in machine learning.
Maximum Likelihood EstimationCovers Maximum Likelihood Estimation, focusing on ML Estimation-Distribution, Shrinkage Estimation, and Loss functions.
Decentralized Storage & Distribution: BitTorrent & IPFSExplores decentralized storage & distribution using BitTorrent & IPFS, covering goals, challenges, building specifications, integrity, bootstrapping, performance, incentives, versioning, naming, and CRDTs.
Distribution EstimationCovers the estimation of distributions using various methods such as minimum loss and expectation.