4.3k citations · 6.9k across the 51 of their papers we have counts for
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Convex Relaxations of Bregman Divergence Clustering
Hao Cheng, Xinhua Zhang, Dale Schuurmans
Although many convex relaxations of clustering have been proposed in the past decade, current formulations remain restricted to spherical Gaussian or discriminative models and are…
Reinforcement Ranking
Hengshuai Yao, Dale Schuurmans
We introduce a new framework for web page ranking -- reinforcement ranking -- that improves the stability and accuracy of Page Rank while eliminating the need for computing the sta…
Learning Bayesian Nets that Perform Well
Russell Greiner, Adam J. Grove, Dale Schuurmans
A Bayesian net (BN) is more than a succinct way to encode a probabilistic distribution; it also corresponds to a function used to answer queries. A BN can therefore be evaluated by…
Monte Carlo Inference via Greedy Importance Sampling
Dale Schuurmans, Finnegan Southey
We present a new method for conducting Monte Carlo inference in graphical models which combines explicit search with generalized importance sampling. The idea is to reduce the vari…