Publications associées à Memoryless Worker-Task Assignment with Polylogarithmic Switching Cost

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MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function u in multivariate polynomial spaces

P_\Lambda := span\{y \mapsto y^\nu | \nu \in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma := [-1,1]^d

, based on the sa ...

MATHICSE2015

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function

u

in multivariate polynomial spaces

P_\Lambda:=span\{y\mapsto y^\nu \,: \, \nu\in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma:=[-1,1]^d

, based on the s ...

2017

Memoryless Worker-Task Assignment with Polylogarithmic Switching Cost

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Chattez avec Graph Search

Stable parameterization of continuous and piecewise-linear functions

Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

Nothing New Under the Sun: Novelty Constructs and Measures in Social Studies

A New Channel-Base Lightning Current Formula With Analytically Adjustable Parameters

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Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

BDD Minimization for Approximate Computing

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

The centre cannot hold: untangling two different trajectories of the 'approaches to learning'framework

Function computation via subspace coding

Stable parameterization of continuous and piecewise-linear functions

Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

Pairs of majority-decomposing functions

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Nothing New Under the Sun: Novelty Constructs and Measures in Social Studies

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

A New Channel-Base Lightning Current Formula With Analytically Adjustable Parameters

BDD Minimization for Approximate Computing

The centre cannot hold: untangling two different trajectories of the 'approaches to learning'framework

Function computation via subspace coding