My H. Dinh

According to our database, My H. Dinh authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty.

My H. Dinh, James Kotary, Ferdinando Fioretto

CoRR, 2024

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages.

My H. Dinh, James Kotary, Ferdinando Fioretto

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization.

James Kotary, Jacob Christopher, My H. Dinh, Ferdinando Fioretto

CoRR, 2023

Context-Aware Differential Privacy for Language Modeling.

My H. Dinh, Ferdinando Fioretto

CoRR, 2023

Folded Optimization for End-to-End Model-Based Learning.

James Kotary, My H. Dinh, Ferdinando Fioretto

CoRR, 2023

Backpropagation of Unrolled Solvers with Folded Optimization.

James Kotary, My H. Dinh, Ferdinando Fioretto

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions.

My H. Dinh, Ferdinando Fioretto, Mostafa Mohammadian, Kyri Baker

CoRR, 2021

A Fairness Analysis on Private Aggregation of Teacher Ensembles.

Cuong Tran, My H. Dinh, Kyle Beiter, Ferdinando Fioretto

CoRR, 2021

Differentially Private Deep Learning under the Fairness Lens.

Cuong Tran, My H. Dinh, Ferdinando Fioretto

CoRR, 2021

Differentially Private Empirical Risk Minimization under the Fairness Lens.

Cuong Tran, My H. Dinh, Ferdinando Fioretto

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021