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K-Adaptability in Two-Stage Robust Binary Programming

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Efficient Kalman Smoothing for Harmonic State-Space Models

Harmonic probabilistic models are common in signal analysis. Framed as a linear-Gaussian state-space model, smoothed inference scales as

O(TH^2)

where

H

is twice the number of frequencies in the model and

T

is the length of the time-series. Due to th ...

IDIAP2005

K-Adaptability in Two-Stage Robust Binary Programming

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Chat with Graph Search

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The Euclidean k-Distance Transformartion in Arbitrary Dimensions - a Separable Implementation

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