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Convergence to approximate Nash equilibria in congestion games
S Chien, A Sinclair - Games and Economic Behavior, 2011 - Elsevier
We study the ability of decentralized, local dynamics in non-cooperative games to rapidly
reach an approximate (pure) Nash equilibrium. Our main result states that for symmetric …
reach an approximate (pure) Nash equilibrium. Our main result states that for symmetric …
Routing without regret: On convergence to Nash equilibria of regret-minimizing algorithms in routing games
There has been substantial work develo** simple, efficient no-regret algorithms for a wide
class of repeated decision-making problems including online routing. These are adaptive …
class of repeated decision-making problems including online routing. These are adaptive …
Distributed selfish load balancing
P Berenbrink, T Friedetzky, LA Goldberg… - SIAM Journal on …, 2007 - SIAM
Suppose that a set of m tasks are to be shared as equally as possible among a set of n
resources. A game-theoretic mechanism to find a suitable allocation is to associate each …
resources. A game-theoretic mechanism to find a suitable allocation is to associate each …
Convergence time to Nash equilibrium in load balancing
We study the number of steps required to reach a pure Nash equilibrium in a load balancing
scenario where each job behaves selfishly and attempts to migrate to a machine which will …
scenario where each job behaves selfishly and attempts to migrate to a machine which will …
Learning equilibria of games via payoff queries
A recent body of experimental literature has studied empirical game-theoretical analysis, in
which we have partial knowledge of a game, consisting of observations of a subset of the …
which we have partial knowledge of a game, consisting of observations of a subset of the …
An order-based algorithm for minimum dominating set with application in graph mining
D Chalupa - Information Sciences, 2018 - Elsevier
Dominating set is a set of vertices of a graph such that all other vertices have a neighbour in
the dominating set. We propose a new order-based randomised local search (RLS o) …
the dominating set. We propose a new order-based randomised local search (RLS o) …
[PDF][PDF] Fast convergence of selfish rerouting
We consider n anonymous selfish users that route their communication through m parallel
links. The users are allowed to reroute, concurrently, from overloaded links to underloaded …
links. The users are allowed to reroute, concurrently, from overloaded links to underloaded …
When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity
Overcomplete latent representations have been very popular for unsupervised feature
learning in recent years. In this paper, we specify which overcomplete models can be …
learning in recent years. In this paper, we specify which overcomplete models can be …
Non-clairvoyant scheduling games
In a scheduling game, each player owns a job and chooses a machine to execute it. While
the social cost is the maximal load over all machines (makespan), the cost (disutility) of each …
the social cost is the maximal load over all machines (makespan), the cost (disutility) of each …
Tight & simple load balancing
P Berenbrink, T Friedetzky, D Kaaser… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
We consider the following load balancing process for m tokens distributed arbitrarily among
n nodes connected by a complete graph. In each time step a pair of nodes is selected …
n nodes connected by a complete graph. In each time step a pair of nodes is selected …