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COLT
2004
Springer
15 years 2 months ago
Online Geometric Optimization in the Bandit Setting Against an Adaptive Adversary
We give an algorithm for the bandit version of a very general online optimization problem considered by Kalai and Vempala [1], for the case of an adaptive adversary. In this proble...
H. Brendan McMahan, Avrim Blum
NIPS
2003
14 years 11 months ago
Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
Ingo Steinwart
WDAG
1992
Springer
104views Algorithms» more  WDAG 1992»
15 years 1 months ago
Choice Coordination with Multiple Alternatives (Preliminary Version)
Abstract. The Choice Coordination Problem with k alternatives (kCCP) was introduced by Rabin in 1982 [Rab82]. The goal is to design a wait-free protocol for n asynchronous processe...
David S. Greenberg, Gadi Taubenfeld, Da-Wei Wang
75
Voted
STACS
1999
Springer
15 years 1 months ago
In How Many Steps the k Peg Version of the Towers of Hanoi Game Can Be Solved?
Abstract. In this we paper we consider the version of the classical Towers of Hanoi games where the game-board contains more than three pegs. For k pegs we give a 2Ckn1/(k−2) low...
Mario Szegedy
84
Voted
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 years 3 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál