Everybody is welcome to attend the public defense of Danish Kashaev of his dissertation 'Approximation via Duality in Offline ...
The notion of duality -- that a given physical system can have two different mathematical descriptions -- is a key idea in modern theoretical physics. Establishing a duality in lattice statistical ...
Abstract: In this work, we consider solving a distributed optimization problem in a multiagent network with multiple agent clusters. In each cluster, the agents manage separable cost functions ...
ABSTRACT: Probabilities have been accepted as providing a general representation of uncertainty. We investigate the validity of probability assessments using a state-contingent model under uncertainty ...
ABSTRACT: Probabilities have been accepted as providing a general representation of uncertainty. We investigate the validity of probability assessments using a state-contingent model under uncertainty ...
Machine learning has seen significant advancements, with Transformers emerging as a dominant architecture in language modeling. These models have revolutionized natural language processing by enabling ...
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Marc Santos is a Guides Staff Writer from the Philippines. He's a seasoned writer with over four years of industry experience, and he is an enjoyer of all things difficult in gaming. If Marc's not ...
Optimization Theory is a branch of mathematics devoted to solving optimization problems…where we want to minimize or maximize the function value. These types of problems are found numerously in ...