Publications related to Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks

Hypergraph-Based Fast Distributed AC Power Flow Optimization

Colin Neil Jones, Yuning Jiang, Yingzhao Lian, Xinliang Dai

This paper presents a novel distributed approach for solving AC power flow (PF) problems. The optimization problem is reformulated into a distributed form using a communication structure corresponding to a hypergraph, by which complex relationships between ...

New York2023

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Mehmet Fatih Sahin

Non-convex constrained optimization problems have become a powerful framework for modeling a wide range of machine learning problems, with applications in k-means clustering, large- scale semidefinite programs (SDPs), and various other tasks. As the perfor ...

EPFL2023

MATHICSE Technical Report : Density estimation in RKHS with application to Korobov spaces in high dimensions

Fabio Nobile, Yoshihito Kazashi

A kernel method for estimating a probability density function (pdf) from an i.i.d. sample drawn from such density is presented. Our estimator is a linear combination of kernel functions, the coefficients of which are determined by a linear equation. An err ...

MATHICSE2021

A birth-death-migration model for life in astrophysical environments

Claudio Grimaldi

To assess the number of life-bearing worlds in astrophysical environments, it is necessary to take the intertwined processes of abiogenesis (birth), extinction (death), and transfer of life (migration) into account. We construct a mathematical model that i ...

OXFORD UNIV PRESS2021

Sampling can be faster than optimization

Nicolas Henri Bernard Flammarion

Optimization algorithms and Monte Carlo sampling algorithms have provided the computational foundations for the rapid growth in applications of statistical machine learning in recent years. There is, however, limited theoretical understanding of the relati ...

PNAS2019

Decentralized Nonlinear Model Predictive Control for 3D Formation of Multirotor Micro Aerial Vehicles with Relative Sensing and Estimation

Alcherio Martinoli, Izzet Kagan Erünsal, Rodrigo Martins de Matos Ventura

In recent years, extensive research is conducted on the coordination and cooperation strategies of multirotor Micro Aerial Vehicles (MAVs) to perform high-level missions such as scientific exploration, search and rescue, intelligence gathering etc. [1], [2 ...

2019

Distributed Rate Allocation in Switch-Based Multiparty Videoconferencing System

Pascal Frossard, Sergio Mena, Stefano D'Aronco

Multiparty videoconferences, or more generally multiparty video calls, are gaining a lot of popularity as they offer a rich communication experience. These applications have, however, large requirements in terms of both network and computational resources ...

2017

Radio Resource Management Optimization of Flexible Satellite Payloads for DVB-S2 Systems

Giuseppe Cocco

The increasing demand for high-rate broadcast and multicast services over satellite networks has pushed for the development of high throughput satellites characterized by a large number of beams (e.g., more than 100). This, together with the variable distr ...

2017

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Napat Rujeerapaiboon

Dynamic optimization problems affected by uncertainty are ubiquitous in many application domains. Decision makers typically model the uncertainty through random variables governed by a probability distribution. If the distribution is precisely known, then ...

EPFL2016

Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks

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Hypergraph-Based Fast Distributed AC Power Flow Optimization

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

MATHICSE Technical Report : Density estimation in RKHS with application to Korobov spaces in high dimensions

A birth-death-migration model for life in astrophysical environments

Sampling can be faster than optimization

Decentralized Nonlinear Model Predictive Control for 3D Formation of Multirotor Micro Aerial Vehicles with Relative Sensing and Estimation

Distributed Rate Allocation in Switch-Based Multiparty Videoconferencing System

Radio Resource Management Optimization of Flexible Satellite Payloads for DVB-S2 Systems

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Sampling can be faster than optimization

A birth-death-migration model for life in astrophysical environments

MATHICSE Technical Report : Density estimation in RKHS with application to Korobov spaces in high dimensions

Distributed Rate Allocation in Switch-Based Multiparty Videoconferencing System

Decentralized Nonlinear Model Predictive Control for 3D Formation of Multirotor Micro Aerial Vehicles with Relative Sensing and Estimation

Hypergraph-Based Fast Distributed AC Power Flow Optimization

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Radio Resource Management Optimization of Flexible Satellite Payloads for DVB-S2 Systems

Dimensionality Reduction in Dynamic Optimization under Uncertainty