This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approac...
This paper proposes a new perspective for solving systems of complex nonlinear equations by simply viewing them as a multiobjective optimization problem. Every equation in the syst...
To exploit increased instruction-level parallelism available in modern processors, we describe the formation and optimization of tracenets, an integrated approach to reducing the ...
Alexandre E. Eichenberger, Waleed Meleis, Suman Ma...
. Direct approaches, which involve asking patients various abstract questions, have significant drawbacks. We propose a new approach that infers patient preferences based on observ...
Zeynep Erkin, Matthew D. Bailey, Lisa M. Maillart,...
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...