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My H. Dinh

Observed names: Dinh, My H, Dinh, My H., My Dinh, My H Dinh
ORCID: 0000-0002-6367-9626
Observed ORCID: 0000-0002-6367-9626
OpenAlex ID: A5059653202
Backpropagation of Unrolled Solvers with Folded Optimization
2023 · James Kotary, My H Dinh, et al. · International Joint Conference on Artificial Intelligence · 19
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Differentially Private Empirical Risk Minimization under the Fairness Lens
2021 · Cuong Dinh Tran, My H. Dinh, et al. · neural information processing systems · 15
A Fairness Analysis on Private Aggregation of Teacher Ensembles
2021 · Tran, Cuong, Dinh, My H., et al. · arXiv (Cornell University) · 11
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Learning Solutions for Intertemporal Power Systems Optimization with Recurrent Neural Networks
2022 · Mostafa Mohammadian, Kyri Baker, et al. · International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) · 9
Differentially Empirical Risk Minimization under the Fairness Lens
2021 · Tran, Cuong, Dinh, My H., et al. · arXiv (Cornell University) · 8
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An Analysis of the Reliability of AC Optimal Power Flow Deep Learning Proxies
2023 · My H. Dinh, Ferdinando Fioretto, et al. · IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) · 5
Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions
2021 · Dinh, My H., Fioretto, Ferdinando, et al. · arXiv (Cornell University) · 4
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End-to-End Optimization and Learning of Fair Court Schedules
2024 · Dinh, My H, Kotary, James, et al. · arXiv (Cornell University) · 3
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Context-Aware Differential Privacy for Language Modeling
2023 · Dinh, My H., Fioretto, Ferdinando · arXiv (Cornell University) · 3
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Differentially Private Deep Learning under the Fairness Lens.
2021 · Cuong Dinh Tran, My H. Dinh, et al. · arXiv (Cornell University) · 3
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
2024 · My H Dinh, James Kotary, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 2
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
2024 · Dinh, My H, Kotary, James, et al. · arXiv (Cornell University) · 2
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Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
2023 · Kotary, James, Christopher, Jacob, et al. · arXiv (Cornell University) · 1
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From Fewer Samples to Fewer Bits: Reframing Dataset Distillation as Joint Optimization of Precision and Compactness
2026 · My H. Dinh, Aditya Sant, et al.
Works count: 15
Citation count: 85
H-index: 5
I10-index: 3
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