336 citations · 1.1k across the 77 of their papers we have counts for
9 papers · 1 filter
Channel Coding at Low Capacity
Mohammad Fereydounian, Hamed Hassani, Mohammad Vahid Jamali +1
Low-capacity scenarios have become increasingly important in the technology of the Internet of Things (IoT) and the next generation of wireless networks. Such scenarios require eff…
SPECTRE: Seedless Network Alignment via Spectral Centralities
Mikhail Hayhoe, Francisco Barreras, Hamed Hassani +1
Network alignment consists of finding a structure-preserving correspondence between the nodes of two correlated, but not necessarily identical, networks. This problem finds applica…
Latency-Reliability Tradeoffs for State Estimation
Konstantinos Gatsis, Hamed Hassani, George J. Pappas
The emerging interest in low-latency high-reliability applications, such as connected vehicles, necessitates a new abstraction between communication and control. Thanks to advances…
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji, Hamed Hassani, Rama Chellappa +1
Building on the success of deep learning, two modern approaches to learn a probability model from the data are Generative Adversarial Networks (GANs) and Variational AutoEncoders (…
An Exact Quantized Decentralized Gradient Descent Algorithm
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani +1
We consider the problem of decentralized consensus optimization, where the sum of smooth and strongly convex functions are minimized over distributed agents that form a con…
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization
Aryan Mokhtari, Hamed Hassani, Amin Karbasi
This paper considers stochastic optimization problems for a large class of objective functions, including convex and continuous submodular. Stochastic proximal gradient methods hav…
Online Continuous Submodular Maximization
Lin Chen, Hamed Hassani, Amin Karbasi
In this paper, we consider an online optimization process, where the objective functions are not convex (nor concave) but instead belong to a broad class of continuous submodular f…
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings
Aryan Mokhtari, Hamed Hassani, Amin Karbasi
In this paper, we showcase the interplay between discrete and continuous optimization in network-structured settings. We propose the first fully decentralized optimization method f…
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity
Lin Chen, Christopher Harshaw, Hamed Hassani +1
Online optimization has been a successful framework for solving large-scale problems under computational constraints and partial information. Current methods for online convex opti…