Search Results for author:
Found 2 papers, 0 papers with code
Mapping Energy Landscapes of Non-Convex Learning Problems
In many statistical learning problems, the target functions to be optimized are highly non-convex in various model spaces and thus are difficult to analyze.
Unsupervised Structure Learning of Stochastic And-Or Grammars
Stochastic And-Or grammars compactly represent both compositionality and reconfigurability and have been used to model different types of data such as images and events.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
