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COCOON
2009
Springer
15 years 4 months ago
HITS Can Converge Slowly, but Not Too Slowly, in Score and Rank
This paper explores the fundamental question of how many iterations the celebrated HITS algorithm requires on a general graph to converge in score and, perhaps more importantly, in...
Enoch Peserico, Luca Pretto
OL
2011
190views Neural Networks» more  OL 2011»
14 years 4 months ago
On optimality of a polynomial algorithm for random linear multidimensional assignment problem
We demonstrate that the Linear Multidimensional Assignment Problem with iid random costs is polynomially "-approximable almost surely (a. s.) via a simple greedy heuristic, f...
Pavlo A. Krokhmal
LAMAS
2005
Springer
15 years 3 months ago
Unifying Convergence and No-Regret in Multiagent Learning
We present a new multiagent learning algorithm, RVσ(t), that builds on an earlier version, ReDVaLeR . ReDVaLeR could guarantee (a) convergence to best response against stationary ...
Bikramjit Banerjee, Jing Peng
STOC
2009
ACM
238views Algorithms» more  STOC 2009»
15 years 10 months ago
On the convergence of regret minimization dynamics in concave games
We study a general sub-class of concave games, which we call socially concave games. We show that if each player follows any no-external regret minimization procedure then the dyn...
Eyal Even-Dar, Yishay Mansour, Uri Nadav
ORL
1998
130views more  ORL 1998»
14 years 9 months ago
Accelerating convergence in the Fermat-Weber location problem
This paper presents a simple procedure for accelerating convergence in a generalized Fermat–Weber problem with lp distances. The main idea is to multiply the predetermined step ...
Jack Brimberg, Reuven Chen, Doron Chen