We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
We extended language modeling approaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our approach is based on the anal...
Abstract. Just as cooperation in multi-agent systems is a central issue for solving complex tasks, so too is the ability for an intelligent agent to reason about combined knowledge...
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
We propose a refinement approach to language emptiness, which is based on the enumeration and the successive refinements of SCCs on over-approximations of the exact system. Our alg...
Chao Wang, Roderick Bloem, Gary D. Hachtel, Kavita...