132 citations · 1.3k across the 52 of their papers we have counts for
8 papers · 1 filter
Structured Low-Rank Tensors for Generalized Linear Models
Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
Recent works have shown that imposing tensor structures on the coefficient tensor in regression problems can lead to more reliable parameter estimation and lower sample complexity…
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model
Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
While the last few decades have witnessed a huge body of work devoted to inference and learning in distributed and decentralized setups, much of this work assumes a non-adversarial…
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
Machine learning has begun to play a central role in many applications. A multitude of these applications typically also involve datasets that are distributed across multiple compu…
Identifiability of Kronecker-structured Dictionaries for Tensor Data
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
This paper derives sufficient conditions for local recovery of coordinate dictionaries comprising a Kronecker-structured dictionary that is used for representing th-order tensor…
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate +1
In recent years, a class of dictionaries have been proposed for multidimensional (tensor) data representation that exploit the structure of tensor data by imposing a Kronecker stru…
Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks
Matthew Nokleby, Waheed U. Bajwa
Motivated by machine learning applications in networks of sensors, internet-of-things (IoT) devices, and autonomous agents, we propose techniques for distributed stochastic convex…