JMLR
2010
13 years 7 months ago
2010
With the increasing popularity of largescale probabilistic graphical models, even "lightweight" approximate inference methods are becoming infeasible. Fortunately, often...
JMLR
2010
13 years 7 months ago
2010
We study the problem of allocating stocks to dark pools. We propose and analyze an optimal approach for allocations, if continuousvalued allocations are allowed. We also propose a...
JMLR
2010
13 years 7 months ago
2010
Existing approaches to multi-view learning are particularly effective when the views are either independent (i.e, multi-kernel approaches) or fully dependent (i.e., shared latent ...
JMLR
2010
13 years 7 months ago
2010
The versatility of exponential families, along with their attendant convexity properties, make them a popular and effective statistical model. A central issue is learning these mo...
JMLR
2010
13 years 7 months ago
2010
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
JMLR
2010
13 years 7 months ago
2010
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
JMLR
2010
13 years 7 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
JMLR
2010
13 years 7 months ago
2010
Universal kernels have been shown to play an important role in the achievability of the Bayes risk by many kernel-based algorithms that include binary classification, regression, ...
JMLR
2010
13 years 7 months ago
2010
JMLR
2010
13 years 7 months ago
2010
