One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
odular Abstraction Refinement Thomas A. Henzinger1 , Ranjit Jhala1 , Rupak Majumdar1 , and Shaz Qadeer2 1 University of California, Berkeley 2 Microsoft Research, Redmond Abstract....
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...
We consider one-round games between a classical verifier and two provers who share entanglement. We show that when the constraints enforced by the verifier are ‘unique’ cons...
We introduce a new algorithm based on linear programming that approximates the differential value function of an average-cost Markov decision process via a linear combination of p...