8 papers
Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization
Parvin Nazari, Bojian Hou, Davoud Ataee Tarzanagh +2
Online bilevel optimization (OBO) is a powerful framework for machine learning problems where both outer and inner objectives evolve over time, requiring dynamic updates. Current O…
Fair Community Detection and Structure Learning in Heterogeneous Graphical Models
Davoud Ataee Tarzanagh, Laura Balzano, Alfred O. Hero
Inference of community structure in probabilistic graphical models may not be consistent with fairness constraints when nodes have demographic attributes. Certain demographics may…
Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection
Addison Kristanto Julistiono, Davoud Ataee Tarzanagh, Navid Azizan
Attention mechanisms have revolutionized several domains of artificial intelligence, such as natural language processing and computer vision, by enabling models to selectively focu…
Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh +3
Learning how to effectively control unknown dynamical systems is crucial for intelligent autonomous systems. This task becomes a significant challenge when the underlying dynamics…
Truncated Matrix Completion - An Empirical Study
Rishhabh Naik, Nisarg Trivedi, Davoud Ataee Tarzanagh +1
Low-rank Matrix Completion (LRMC) describes the problem where we wish to recover missing entries of partially observed low-rank matrix. Most existing matrix completion work deals w…
Fairness-Aware Estimation of Graphical Models
Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou +2
This paper examines the issue of fairness in the estimation of graphical models (GMs), particularly Gaussian, Covariance, and Ising models. These models play a vital role in unders…