Machine learning statistical gravity from multi-region entanglement entropy

Statistical Machine Learning from Data

NOTE: A good introduction to various machine learning models. NOTE: The theory is explained here with all the equations. [4] Vladimir N. Vapnik. The nature of statistical learning theory. Springer, second edition, 1995. NOTE: A good introduction to the theory, not much equations. NOTE: Very good paper proposing a series of tricks to make neural networks really working.

Extended First Law for Entanglement Entropy in Lovelock Gravity

The first law for the holographic entanglement entropy of spheres in a boundary CFT (Conformal Field Theory) with a bulk Lovelock dual is extended to include variations of the bulk Lovelock coupling constants. Such variations in the bulk correspond to perturbations within a family of boundary CFTs. The new contribution to the first law is found to be the product of the variation δa of the “A”-t...

Multi-Strategy Approaches to Active Learning for Statistical Machine Translation

This paper investigates active learning to improve statistical machine translation (SMT) for low-resource language pairs, i.e., when there is very little pre-existing parallel text. Since generating additional parallel text to train SMT may be costly, active sampling selects the sentences from a monolingual corpus which if translated would have maximal positive impact in training SMT models. We...

Statistical Machine Learning

Statistical and Machine Learning

• Course plan: See Table of Contents (tentative). We will emphasize on knowing " why " and on statistical aspects instead of algorithms and programming. But still you have to know " how " by either writing your own implementation or modifying from others' code. • Grading policy: homework 30%, score for late homework= (full points) × 0.8 d , d : delay days. oral presentation 20% on assigned task...