20 citations · 56 across the 4 of their papers we have counts for
4 papers
Constant Size Molecular Descriptors For Use With Machine Learning
Christopher R. Collins, Geoffrey J. Gordon, O. Anatole von Lilienfeld +1
A set of molecular descriptors whose length is independent of molecular size is developed for machine learning models that target thermodynamic and electronic properties of molecul…
A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games
Miroslav Dudik, Geoffrey Gordon
A central task of artificial intelligence is the design of artificial agents that act towards specified goals in partially observed environments. Since such environments frequently…
First-Order Mixed Integer Linear Programming
Geoffrey Gordon, Sue Ann Hong, Miroslav Dudik
Mixed integer linear programming (MILP) is a powerful representation often used to formulate decision-making problems under uncertainty. However, it lacks a natural mechanism to re…
A Bayesian Matrix Factorization Model for Relational Data
Ajit P. Singh, Geoffrey Gordon
Relational learning can be used to augment one data source with other correlated sources of information, to improve predictive accuracy. We frame a large class of relational learni…