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James Kotary

End-to-End Optimization and Learning of Fair Court Schedules

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Oct 22, 2024
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Learning Joint Models of Prediction and Optimization

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Sep 07, 2024
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Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming

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Apr 01, 2024
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Learning Constrained Optimization with Deep Augmented Lagrangian Methods

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Mar 14, 2024
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End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty

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Feb 12, 2024
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Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages

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Feb 07, 2024
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Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization

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Dec 28, 2023
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Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization

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Nov 22, 2023
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Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

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Aug 16, 2023
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Folded Optimization for End-to-End Model-Based Learning

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Jan 28, 2023
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