Publications de Volkan Cevher | EPFL Graph Search

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

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

Volkan Cevher

Graph Chatbot

Chattez avec Graph Search

Room Acoustic Modeling Exploiting Joint Sparsity and Low-rank Structures

A Multipath Sparse Beamfroming Method

Convexity in source separation: Models, geometry, and algorithms

Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

Structured Sparse Acoustic Modeling for Speech Separation

Manifold Sparse Beamforming

Equivalence of synthesis and atomic formulations of sparse recovery

Active Learning of Multi-Index Function Models

Hard Thresholding with Norm Constraints

Learning Ridge Functions With Randomized Sampling In High Dimensions

Convexity in source separation: Models, geometry, and algorithms

A Multipath Sparse Beamfroming Method

Room Acoustic Modeling Exploiting Joint Sparsity and Low-rank Structures

Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

Structured Sparse Acoustic Modeling for Speech Separation

Manifold Sparse Beamforming

Equivalence of synthesis and atomic formulations of sparse recovery

Active Learning of Multi-Index Function Models

Learning Ridge Functions With Randomized Sampling In High Dimensions

Hard Thresholding with Norm Constraints