14 citations · 26 across the 9 of their papers we have counts for
9 papers
Representation Curriculum: Stagewise Training for Robust Ranking and Allocation
Ehsan Ebrahimzadeh, Sina Baharlouei, Abraham Bagherjeiran
Ranking in digital marketplaces is a dynamic exposure-allocation mechanism: displayed items shape discovery trajectories and success events logged by the platform to update future…
A Semidefinite Relaxation Approach for Fair Graph Clustering
Sina Baharlouei, Sadra Sabouri
Fair graph clustering is crucial for ensuring equitable representation and treatment of diverse communities in network analysis. Traditional methods often ignore disparities among…
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
Sina Baharlouei, Shivam Patel, Meisam Razaviyayn
Training and deploying machine learning models that meet fairness criteria for protected groups are fundamental in modern artificial intelligence. While numerous constraints and re…
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework
Sina Baharlouei, Meisam Razaviyayn
While training fair machine learning models has been studied extensively in recent years, most developed methods rely on the assumption that the training and test data have similar…
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes
Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn +1
This work concerns the development of deep networks that are certifiably robust to adversarial attacks. Joint robust classification-detection was recently introduced as a certified…
RIFLE: Imputation and Robust Inference from Low Order Marginals
Sina Baharlouei, Kelechi Ogudu, Sze-chuan Suen +1
The ubiquity of missing values in real-world datasets poses a challenge for statistical inference and can prevent similar datasets from being analyzed in the same study, precluding…
A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy, Sina Baharlouei, Rakesh Pavan +2
Despite the success of large-scale empirical risk minimization (ERM) at achieving high accuracy across a variety of machine learning tasks, fair ERM is hindered by the incompatibil…
When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima?
Maziar Sanjabi, Sina Baharlouei, Meisam Razaviyayn +1
We study the optimization problem for decomposing dimensional fourth-order Tensors with non-orthogonal components. We derive \textit{deterministic} conditions under which s…
Rényi Fair Inference
Sina Baharlouei, Maher Nouiehed, Ahmad Beirami +1
Machine learning algorithms have been increasingly deployed in critical automated decision-making systems that directly affect human lives. When these algorithms are only trained t…