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» Improving probability bounds by optimization over subsets
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COLT
2008
Springer
13 years 7 months ago
High-Probability Regret Bounds for Bandit Online Linear Optimization
We present a modification of the algorithm of Dani et al. [8] for the online linear optimization problem in the bandit setting, which with high probability has regret at most O ( ...
Peter L. Bartlett, Varsha Dani, Thomas P. Hayes, S...
STOC
2001
ACM
111views Algorithms» more  STOC 2001»
14 years 6 months ago
Optimal outlier removal in high-dimensional
We study the problem of finding an outlier-free subset of a set of points (or a probability distribution) in n-dimensional Euclidean space. As in [BFKV 99], a point x is defined t...
John Dunagan, Santosh Vempala
COCO
2003
Springer
162views Algorithms» more  COCO 2003»
13 years 11 months ago
Near-Optimal Lower Bounds on the Multi-Party Communication Complexity of Set Disjointness
We study the communication complexity of the set disjointness problem in the general multi-party model. For t players, each holding a subset of a universe of size n, we establish ...
Amit Chakrabarti, Subhash Khot, Xiaodong Sun
CORR
2010
Springer
100views Education» more  CORR 2010»
13 years 5 months ago
Convex Relaxations for Subset Selection
We use convex relaxation techniques to produce lower bounds on the optimal value of subset selection problems and generate good approximate solutions. We then explicitly bound the...
Francis Bach, Selin Damla Ahipasaoglu, Alexandre d...
CORR
2007
Springer
108views Education» more  CORR 2007»
13 years 5 months ago
Error Probability Analysis of Peaky Signaling over Fading Channels
Abstract— In this paper, the performance of signaling strategies with high peak-to-average power ratio is analyzed in both coherent and noncoherent fading channels Two recently p...
Mustafa Cenk Gursoy