3 papers
cs.LG2021
Adversarial Representation Learning With Closed-Form Solvers
Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti
Adversarial representation learning aims to learn data representations for a target task while removing unwanted sensitive information at the same time. Existing methods learn mode…
cs.LG2019
On the Global Optima of Kernelized Adversarial Representation Learning
Bashir Sadeghi, Runyi Yu, Vishnu Naresh Boddeti
Adversarial representation learning is a promising paradigm for obtaining data representations that are invariant to certain sensitive attributes while retaining the information ne…
eess.SP2018
Constrained Sampling: Optimum Reconstruction in Subspace with Minimax Regret Constraint
Bashir Sadeghi, Runyi Yu, Vishnu Naresh Boddeti
This paper considers the problem of optimum reconstruction in generalized sampling-reconstruction processes (GSRPs). We propose constrained GSRP, a novel framework that minimizes t…