265 citations · 1k across the 84 of their papers we have counts for
6 papers · 1 filter
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data
Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo +1
This article presents a powerful algorithmic framework for big data optimization, called the Block Successive Upper bound Minimization (BSUM). The BSUM includes as special cases ma…
Computing B-Stationary Points of Nonsmooth DC Programs
Jong-Shi Pang, Meisam Razaviyayn, Alberth Alvarado
Motivated by a class of applied problems arising from physical layer based security in a digital communication system, in particular, by a secrecy sum-rate maximization problem, th…
Computational Intractability of Dictionary Learning for Sparse Representation
Meisam Razaviyayn, Hung-Wei Tseng, Zhi-Quan Luo
In this paper we consider the dictionary learning problem for sparse representation. We first show that this problem is NP-hard by polynomial time reduction of the densest cut prob…
Discrete Rényi Classifiers
Meisam Razaviyayn, Farzan Farnia, David Tse
Consider the binary classification problem of predicting a target variable from a discrete feature vector . When the probability distribution $\mathbb{P}(X,Y…
SINR Constrained Beamforming for a MIMO Multi-user Downlink System
Qingjiang Shi, Meisam Razavayan, Mingyi Hong +1
Consider a multi-input multi-output (MIMO) downlink multi-user channel. A well-studied problem in such system is the design of linear beamformers for power minimization with the qu…
Minimum HGR Correlation Principle: From Marginals to Joint Distribution
Farzan Farnia, Meisam Razaviyayn, Sreeram Kannan +1
Given low order moment information over the random variables and , what distribution minimizes the Hirschfeld-Gebelein-Rényi (HGR) maximal co…