5.7k citations · 15.5k across the 75 of their papers we have counts for
4 papers · 1 filter
Fast Exact Inference for Recursive Cardinality Models
Daniel Tarlow, Kevin Swersky, Richard S. Zemel +2
Cardinality potentials are a generally useful class of high order potential that affect probabilities based on how many of D binary variables are active. Maximum a posteriori (MAP)…
Parallel MCMC with Generalized Elliptical Slice Sampling
Robert Nishihara, Iain Murray, Ryan P. Adams
Probabilistic models are conceptually powerful tools for finding structure in data, but their practical effectiveness is often limited by our ability to perform inference in them.…
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek, Hugo Larochelle, Ryan P. Adams
Machine learning algorithms frequently require careful tuning of model hyperparameters, regularization terms, and optimization parameters. Unfortunately, this tuning is often a "bl…
Training Restricted Boltzmann Machines on Word Observations
George E. Dahl, Ryan P. Adams, Hugo Larochelle
The restricted Boltzmann machine (RBM) is a flexible tool for modeling complex data, however there have been significant computational difficulties in using RBMs to model high-dime…