My H. Dinh

Orcid: 0000-0002-6367-9626

According to our database1, My H. Dinh authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty.
CoRR, 2024

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization.
CoRR, 2023

Context-Aware Differential Privacy for Language Modeling.
CoRR, 2023

Folded Optimization for End-to-End Model-Based Learning.
CoRR, 2023

Backpropagation of Unrolled Solvers with Folded Optimization.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021
Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions.
CoRR, 2021

A Fairness Analysis on Private Aggregation of Teacher Ensembles.
CoRR, 2021

Differentially Private Deep Learning under the Fairness Lens.
CoRR, 2021

Differentially Private Empirical Risk Minimization under the Fairness Lens.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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