A Survey of Model-Based Methods for Global Optimization
Statistical Method in Economics
Dynamic Programming and Stochastic Control
Weighted Deduction as an Abstraction Level for AI
Energy Minimization with Label costs and Applications in Multi-Model Fitting
Linear Bellman Equations: Theory and Applications
MCMC Inference Inside the DB for Extraction, Resolution, Alignment, Provenance and Queries
Learning using Many Examples
On Recent Trends in Extremely Large-Scale Convex Optimization
Computer-Aided Algorithm Design: Automated Tuning, Configuration, Selection and Beyond