31 citations · 59 across the 37 of their papers we have counts for
12 papers · 1 filter
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
Yehonathan Refael, Jonathan Svirsky, Boris Shustin +2
Training and fine-tuning large language models (LLMs) come with challenges related to memory and computational requirements due to the increasing size of the model weights and the…
Testing Dependency of Weighted Random Graphs
Mor Oren, Vered Paslev, Wasim Huleihel
In this paper, we study the task of detecting the edge dependency between two weighted random graphs. We formulate this task as a simple hypothesis testing problem, where under the…
Sequential Classification of Misinformation
Daniel Toma, Wasim Huleihel
In recent years there have been a growing interest in online auditing of information flow over social networks with the goal of monitoring undesirable effects, such as, misinformat…
Testing Dependency of Unlabeled Databases
Vered Paslev, Wasim Huleihel
In this paper, we investigate the problem of deciding whether two random databases and are statistical…
Online Auditing of Information Flow
Mor Oren-Loberman, Vered Azar, Wasim Huleihel
Modern social media platforms play an important role in facilitating rapid dissemination of information through their massive user networks. Fake news, misinformation, and unverifi…
Phase Transitions in the Detection of Correlated Databases
Dor Elimelech, Wasim Huleihel
We study the problem of detecting the correlation between two Gaussian databases and , each composed of users with…
Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization
Yehonathan Refael, Iftach Arbel, Wasim Huleihel
The extensive need for computational resources poses a significant obstacle to deploying large-scale Deep Neural Networks (DNN) on devices with constrained resources. At the same t…
Mathematical Framework for Online Social Media Auditing
Wasim Huleihel, Yehonathan Refael
Social media platforms (SMPs) leverage algorithmic filtering (AF) as a means of selecting the content that constitutes a user's feed with the aim of maximizing their rewards. Selec…
Fuzzy Clustering with Similarity Queries
Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
The fuzzy or soft -means objective is a popular generalization of the well-known -means problem, extending the clustering capability of the -means to datasets that are unc…
Learning User Preferences in Non-Stationary Environments
Wasim Huleihel, Soumyabrata Pal, Ofer Shayevitz
Recommendation systems often use online collaborative filtering (CF) algorithms to identify items a given user likes over time, based on ratings that this user and a large number o…
Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model
Wasim Huleihel, Ofer Shayevitz
We analyze a sequential decision making model in which decision makers (or, players) take their decisions based on their own private information as well as the actions of previous…
Same-Cluster Querying for Overlapping Clusters
Wasim Huleihel, Arya Mazumdar, Muriel Médard +1
Overlapping clusters are common in models of many practical data-segmentation applications. Suppose we are given elements to be clustered into possibly overlapping clusters…