Sciweavers

427 search results - page 33 / 86
» A Subexponential Bound for Linear Programming
Sort
View
COLT
1999
Springer
13 years 12 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
CP
2003
Springer
14 years 28 days ago
Constraint-Based Optimization with the Minimax Decision Criterion
Abstract. In many situations, a set of hard constraints encodes the feasible configurations of some system or product over which users have preferences. We consider the problem of...
Craig Boutilier, Relu Patrascu, Pascal Poupart, Da...
ICASSP
2010
IEEE
13 years 7 months ago
Clustering disjoint subspaces via sparse representation
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
Ehsan Elhamifar, René Vidal
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 1 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
ICALP
2010
Springer
14 years 14 days ago
Cell Probe Lower Bounds and Approximations for Range Mode
The mode of a multiset of labels, is a label that occurs at least as often as any other label. The input to the range mode problem is an array A of size n. A range query [i, j] mus...
Mark Greve, Allan Grønlund Jørgensen...