Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Publication
Making Vapnik-Chervonenkis bounds accurate
Publication
Distribution-Valued Solution Concepts
Project
FaST-LMM
FaST-LMM (Factored Spectrally Transformed Linear Mixed Models) is a set of tools for performing efficient genome-wide association studies (GWAS) on large data sets. FaST-LMM runs on both Windows and Linux, and has been tested on…
Video
NIPS: Spotlight Session 9 – Graphical Models Spotlights, Model Selection
S. Nie, D. Maua, C. de Campos, Q. Ji Advances in Learning Bayesian Networks of Bounded Treewidth J. Tristan, D. Huang, J. Tassarotti, A. Pocock, S. Green, G. Steele Augur: Data-Parallel Probabilistic Modeling N. Ruozzi,…
Video
NIPS: Oral Session 10 – Michael Kearns
Beginning with the introduction of graphical games and related models, there is now a rich body of algorithmic connections between probabilistic inference, game theory and microeconomics. Strategic analogues of belief propagation and other inference techniques…
Video
NIPS: Oral Session 10 – Lirong Xia
In this paper, we take a statistical decision-theoretic viewpoint on social choice, putting a focus on the decision to be made on behalf of a system of agents. In our framework, we are given a…
Video
NIPS: Spotlight Session 10 – Cognitive Science Spotlights
M. Irfan, L. Ortiz Causal Strategic Inference in Networked Microfinance Economies D. Eigen, C. Puhrsch, R. Fergus Depth Map Prediction from a Single Image using a Multi-Scale Deep Network J. Drugowitsch, R. Moreno-Bote, A. Pouget…
