Publications related to Bounded operator

Hidden and explicit quantum scale invariance

Sander Johannes Nicolaas Mooij, Thibault Voumard

There exist renormalization schemes that explicitly preserve the scale invariance of a theory at the quantum level. Imposing a scale-invariant renormalization breaks renormalizability and induces new nontrivial operators in the theory. In this work, we stu ...

2019

Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback

Michael Christoph Gastpar, Erixhen Sula

The feedback sum-rate capacity is established for the symmetric three-user Gaussian multiple-access channel (GMAC). The main contribution is a converse bound that combines the dependence-balance argument of Hekstra and Willems (1989) with a variant of the ...

2018

Stochastic Three-Composite Convex Minimization with a Linear Operator

Volkan Cevher

We develop a primal-dual convex minimization framework to solve a class of stochastic convex three-composite problem with a linear operator. We consider the cases where the problem is both convex and strongly convex and analyze the convergence of the propo ...

JMLR: W&CP2018

Proximity results and faster algorithms for Integer Programming using the Steinitz Lemma

Friedrich Eisenbrand

We consider integer programming problems in standard form max{c(T)x : Ax = b; x >= 0, x is an element of Z(n)} where A is an element of Z(mxn), b is an element of Z(m) and c is an element of Z(n). We show that such an integer program can be solved in time ...

ASSOC COMPUTING MACHINERY2018

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Michaël Unser, Julien René Pierre Fageot, Anaïs Laure Marie-Thérèse Badoual

This paper deals with the resolution of inverse problems in a periodic setting or, in other terms, the reconstruction of periodic continuous-domain signals from their noisy measurements. We focus on two reconstruction paradigms: variational and statistical ...

2018

Distributed Signal Processing via Chebyshev Polynomial Approximation

Pascal Frossard, Pierre Vandergheynst, Daniel Kressner, David Shuman

Unions of graph multiplier operators are an important class of linear operators for processing signals defined on graphs. We present a novel method to efficiently distribute the application of these operators. The proposed method features approximations of ...

2018

Refinement Algorithms for Adaptive Isogeometric Methods with Hierarchical Splines

Rafael Vazquez Hernandez

The construction of suitable mesh configurations for spline models that provide local refinement capabilities is one of the fundamental components for the analysis and development of adaptive isogeometric methods. We investigate the design and implementati ...

2018

Smoothing technique for nonsmooth composite minimization with linear operator

Volkan Cevher, Van Quang Nguyen

We introduce and analyze an algorithm for the minimization of convex functions that are the sum of differentiable terms and proximable terms composed with linear operators. The method builds upon the recently developed smoothed gap technique. In addition t ...

2017

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

Towards Stationary Time-Vertex Signal Processing

Pierre Vandergheynst, Nathanaël Perraudin, Andreas Loukas, Francesco Grassi

Graph-based methods for signal processing have shown promise for the analysis of data exhibiting irregular structure, such as those found in social, transportation, and sensor networks. Yet, though these systems are often dynamic, state-of-the-art methods ...

Ieee2017

Bounded operator

Graph Chatbot

Chat with Graph Search

Hidden and explicit quantum scale invariance

Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback

Stochastic Three-Composite Convex Minimization with a Linear Operator

Proximity results and faster algorithms for Integer Programming using the Steinitz Lemma

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Distributed Signal Processing via Chebyshev Polynomial Approximation

Refinement Algorithms for Adaptive Isogeometric Methods with Hierarchical Splines

Smoothing technique for nonsmooth composite minimization with linear operator

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Towards Stationary Time-Vertex Signal Processing

Proximity results and faster algorithms for Integer Programming using the Steinitz Lemma

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Hidden and explicit quantum scale invariance

Refinement Algorithms for Adaptive Isogeometric Methods with Hierarchical Splines

Smoothing technique for nonsmooth composite minimization with linear operator

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Stochastic Three-Composite Convex Minimization with a Linear Operator

Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback

Distributed Signal Processing via Chebyshev Polynomial Approximation

Towards Stationary Time-Vertex Signal Processing