Publications associées à On Generalized Weighted Hilbert Matrices

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Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

In this paper, we consider the problem of sequentially optimizing a black-box function

f

based on noisy samples and bandit feedback. We assume that

f

is smooth in the sense of having a bounded norm in some reproducing kernel Hilbert space (RKHS), yield ...

2017

On Generalized Weighted Hilbert Matrices

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Faster Algorithms for Integer Programs with Block Structure

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

A Functional Framework for Enhanced Ultrasound Imaging

A generalized mountain-pass theorem: the existence of multiple critical points

Spectral methods for tempered fractional differential equations

Estimation in Functional Lagged Regression

Asymptotic bifurcation and second order elliptic equations on R-N

Approximate Matrix Multiplication with Application to Linear Embeddings

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

The Two-Well Problem For Piecewise-Affine Maps

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

Approximate Matrix Multiplication with Application to Linear Embeddings

Asymptotic bifurcation and second order elliptic equations on R-N

A Functional Framework for Enhanced Ultrasound Imaging

Spectral methods for tempered fractional differential equations

The Two-Well Problem For Piecewise-Affine Maps

A generalized mountain-pass theorem: the existence of multiple critical points

Faster Algorithms for Integer Programs with Block Structure

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Estimation in Functional Lagged Regression