4 citations · 4 across the 1 of their papers we have counts for
8 papers
Alternating Estimation for Structured High-Dimensional Multi-Response Models
Sheng Chen, Arindam Banerjee
We consider learning high-dimensional multi-response linear models with structured parameters. By exploiting the noise correlations among responses, we propose an alternating estim…
Structured Stochastic Linear Bandits
Nicholas Johnson, Vidyashankar Sivakumar, Arindam Banerjee
The stochastic linear bandit problem proceeds in rounds where at each round the algorithm selects a vector from a decision set after which it receives a noisy linear loss parameter…
Generalized Direct Change Estimation in Ising Model Structure
Farideh Fazayeli, Arindam Banerjee
We consider the problem of estimating change in the dependency structure between two -dimensional Ising models, based on respectively and samples drawn from the mode…
Graph Connectivity and Binomial Edge Ideals
Arindam Banerjee, Luis Núñez-Betancourt
We relate homological properties of a binomial edge ideal to invariants that measure the connectivity of a simple graph . Specifically, we show if $R/\mathcal{J}…
Structured Matrix Recovery via the Generalized Dantzig Selector
Sheng Chen, Arindam Banerjee
In recent years, structured matrix recovery problems have gained considerable attention for its real world applications, such as recommender systems and computer vision. Much of th…
Estimating Structured Vector Autoregressive Model
Igor Melnyk, Arindam Banerjee
While considerable advances have been made in estimating high-dimensional structured models from independent data using Lasso-type models, limited progress has been made for settin…