5 citations · 17 across the 14 of their papers we have counts for
4 papers · 1 filter
Self-Supervised Combinatorial Optimization with Constraints via Frank-Wolfe
Akbar Rafiey, Yifei Xu, Nikolaos Karalias
Self-supervised learning for combinatorial optimization has emerged as a promising paradigm for solving discrete optimization problems with neural networks, but a central challenge…
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
Nikolaos Karalias, Akbar Rafiey, Yifei Xu +4
Self-Supervised Learning (SSL) for Combinatorial Optimization (CO) is an emerging paradigm for solving combinatorial problems using neural networks. In this paper, we address a cen…
Explaining GNN Explanations with Edge Gradients
Jesse He, Akbar Rafiey, Gal Mishne +1
In recent years, the remarkable success of graph neural networks (GNNs) on graph-structured data has prompted a surge of methods for explaining GNN predictions. However, the state-…
Private Boosted Decision Trees via Smooth Re-Weighting
Vahid R. Asadi, Marco L. Carmosino, Mohammadmahdi Jahanara +2
Protecting the privacy of people whose data is used by machine learning algorithms is important. Differential Privacy is the appropriate mathematical framework for formal guarantee…