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Active Learning of Multi-Index Function Models

Volkan Cevher, Hemant Tyagi

We consider the problem of actively learning \textit{multi-index} functions of the form

f(x) = g(Ax)= \sum_{i=1}^k g_i(a_i^Tx)

from point evaluations of

f

. We assume that the function

f

is defined on an

\ell_2

-ball in

\Real^d

g

is twice contin ...

2012

The PROSITE database, its status in 2002

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Fast Proton Exchange in Histidine: Measurement of Rate Constants through Indirect Detection by NMR Spectroscopy

Computing with an SMT Solver

Method and apparatus for identifying local features

L (p) error estimates for approximation by Sobolev splines and Wendland functions on a"e (d)

Euclidean Distance Matrices

An inverse theorem for Gowers norms of trace functions over F-p

Application of the Matrix Pencil Method to Rational Fitting of Frequency-Domain Responses

Finite Element Method on Riemann Surfaces and Applications to the Laplacian Spectrum

Active Learning of Multi-Index Function Models

Boosting the Sensitivity of Ligand-Protein Screening by NMR of Long-Lived States

Fast Proton Exchange in Histidine: Measurement of Rate Constants through Indirect Detection by NMR Spectroscopy

An inverse theorem for Gowers norms of trace functions over F-p

L (p) error estimates for approximation by Sobolev splines and Wendland functions on a"e (d)

Active Learning of Multi-Index Function Models

Finite Element Method on Riemann Surfaces and Applications to the Laplacian Spectrum

Boosting the Sensitivity of Ligand-Protein Screening by NMR of Long-Lived States

Computing with an SMT Solver

Method and apparatus for identifying local features

Euclidean Distance Matrices

Application of the Matrix Pencil Method to Rational Fitting of Frequency-Domain Responses