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» A Robust Minimax Approach to Classification
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TSP
2008
113views more  TSP 2008»
13 years 5 months ago
Hybrid Filter Banks With Fractional Delays: Minimax Design and Application to Multichannel Sampling
This paper is motivated by multichannel sampling applications. We consider a hybrid filter banks consisting of a set of fractional delays operators, slow A/D converters with differ...
Ha Thai Nguyen, Minh N. Do
NIPS
2003
13 years 6 months ago
Minimax Embeddings
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
Matthew Brand
STOC
2012
ACM
251views Algorithms» more  STOC 2012»
11 years 7 months ago
Minimax option pricing meets black-scholes in the limit
Option contracts are a type of financial derivative that allow investors to hedge risk and speculate on the variation of an asset’s future market price. In short, an option has...
Jacob Abernethy, Rafael M. Frongillo, Andre Wibiso...
ICASSP
2011
IEEE
12 years 9 months ago
Scalable robust hypothesis tests using graphical models
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, ...
CSDA
2008
56views more  CSDA 2008»
13 years 5 months ago
Robust designs for series estimation
We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the est...
Holger Dette, Douglas P. Wiens