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20132022
most citedA Parallel Stochastic Approximation Method for Nonconvex Multi-Agent Optimization Problems

112 citations · 910 across the 35 of their papers we have counts for

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Showing math.OCShow all

5 papers · 1 filter

math.OC2019★ 86 cited

Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization

Yang Yang, Marius Pesavento, Zhi-Quan Luo +1

In this paper, we propose an inexact block coordinate descent algorithm for large-scale nonsmooth nonconvex optimization problems. At each iteration, a particular block variable is…

math.OC2018★ 7 cited

Joint Antenna Selection and Phase-Only Beamforming Using Mixed-Integer Nonlinear Programming

Tobias Fischer, Ganapati Hegde, Frederic Matter +3

In this paper, we consider the problem of joint antenna selection and analog beamformer design in downlink single-group multicast networks. Our objective is to reduce the hardware…

math.OC2018★ 21 cited

Energy efficiency optimization in MIMO interference channels: A successive pseudoconvex approximation approach

Yang Yang, Marius Pesavento, Symeon Chatzinotas +1

In this paper, we consider the (global and sum) energy efficiency optimization problem in downlink multi-input multi-output multi-cell systems, where all users suffer from multi-us…

math.OC2015★ 93 cited

A Unified Successive Pseudo-Convex Approximation Framework

Yang Yang, Marius Pesavento

In this paper, we propose a successive pseudo-convex approximation algorithm to efficiently compute stationary points for a large class of possibly nonconvex optimization problems.…

math.OC2015★ 13 cited

An Online Parallel and Distributed Algorithm for Recursive Estimation of Sparse Signals

Yang Yang, Mengyi Zhang, Marius Pesavento +1

In this paper, we consider a recursive estimation problem for linear regression where the signal to be estimated admits a sparse representation and measurement samples are only seq…