Publications related to Average-case complexity

A Novel Centralized Strategy for Coded Caching with Non-uniform Demands

Michael Christoph Gastpar, Pierre Victor Xavier Quinton, Saeid Sahraei

Despite significant progress in the caching literature concerning the worst case and uniform average case regimes, the algorithms for caching with nonuniform demands are still at a basic stage and mostly rely on simple grouping and memory-sharing technique ...

2018

Jump-Penalized Least Absolute Values Estimation of Scalar or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We study jump-penalized estimators based on least absolute deviations which are often referred to as Potts estimators. They are estimators for a parsimonious piecewise constant representation of noisy data having a noise distribution which has heavier tail ...

Oxford University Press2017

Information Structure Design in Team Decision Problems

Maryam Kamgarpour, Tyler Summers

We consider a problem of information structure design in team decision problems and team games. We propose simple, scalable greedy algorithms for adding a set of extra information links to optimize team performance and resilience to non-cooperative and adv ...

2017

Coordinate-descent adaptation over networks

Ali H. Sayed, Bicheng Ying, Chengcheng Wang

This work examines the mean-square error performance of diffusion stochastic algorithms under a generalized coordinate-descent scheme. In this setting, the adaptation step by each agent is limited to a random subset of the coordinates of its stochastic gra ...

2017

Robust Discriminative Clustering with Sparse Regularizers

Nicolas Henri Bernard Flammarion

Clustering high-dimensional data often requires some form of dimensionality reduction, where clustered variables are separated from "noise-looking" variables. We cast this problem as finding a low-dimensional projection of the data which is well-clustered. ...

2017

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Volkan Cevher, Mikhail Kapralov, Jonathan Mark Scarlett, Amir Zandieh

The problem of approximately computing the

k

dominant Fourier coefficients of a vector

X

quickly, and using few samples in time domain, is known as the Sparse Fourier Transform (sparse FFT) problem. A long line of work on the sparse FFT has resulted in ...

2017

Sequential Discrete Kalman Filter for Real-Time State Estimation in Power Distribution Systems: Theory and Implementation

Mario Paolone, Andreas Martin Kettner

This paper demonstrates the feasibility of implementing real-time state estimators for active distribution networks in field-programmable gate arrays (FPGAs) by presenting an operational prototype. The prototype is based on a linear state estimator that us ...

Institute of Electrical and Electronics Engineers2017

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron

The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to operators while planning for their systems (the supply). These preferences are formalized with discrete choice model ...

2017

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron

The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to operators while planning for their systems (the supply). These preferences are formalized with discrete choice model ...

2017

Experimental study of high power mm-waves scattering by plasma turbulence in TCV plasmas

Timothy Goodman, Stefano Alberti, Ivo Furno, Marcelo Baquero Ruiz, Gennady Plyushchev, Oulfa Chellaï, Fabian Manke

Understanding the propagation of high power mm-wave in plasmas is of tremendous importance in the route to fusion considering their extensive use in magnetically confined fusion devices. Mm-beams, launched from the outside of the vessel must propagate thro ...

2017

Average-case complexity

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A Novel Centralized Strategy for Coded Caching with Non-uniform Demands

Jump-Penalized Least Absolute Values Estimation of Scalar or Circle-Valued Signals

Information Structure Design in Team Decision Problems

Coordinate-descent adaptation over networks

Robust Discriminative Clustering with Sparse Regularizers

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Sequential Discrete Kalman Filter for Real-Time State Estimation in Power Distribution Systems: Theory and Implementation

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Experimental study of high power mm-waves scattering by plasma turbulence in TCV plasmas

Information Structure Design in Team Decision Problems

A Novel Centralized Strategy for Coded Caching with Non-uniform Demands

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Sequential Discrete Kalman Filter for Real-Time State Estimation in Power Distribution Systems: Theory and Implementation

Coordinate-descent adaptation over networks

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Robust Discriminative Clustering with Sparse Regularizers

Jump-Penalized Least Absolute Values Estimation of Scalar or Circle-Valued Signals

Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case

Experimental study of high power mm-waves scattering by plasma turbulence in TCV plasmas