The input to an Inverse Shortest Path Lengths Problem (ISPL) consists of a graph G with arc weights, and a collection of source-sink pairs with prescribed distances that do not ne...
Monitoring or profiling programs provides us with an understanding for its further improvement and analysis. Typically, for monitoring or profiling, the program is instrumented ...
Harish Narayanappa, Mukul S. Bansal, Hridesh Rajan
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...