Smooth Learning with Hard Constraints via Legendre-Regularized Policies | Paper Citation Record

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies predict, then optimize

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Management Science , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies 2013 , publisher=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Neural networks , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Neural networks , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Mathematical Programming Computation , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Advances in Neural Information Processing Systems , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Mathematical programming , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Conference on Learning Theory , pages=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Advances in Neural Information Processing Systems , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies 1970 , publisher=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies European Journal of Operational Research , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies A Universal End-to-End Approach to Portfolio Optimization via Deep Learning

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Operations Research , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Management Science , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies On Data-Driven Prescriptive Analytics with Side Information: A Regularized

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Operations Research , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Mathematical Programming , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Advances in Neural Information Processing Systems , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Advances in Neural Information Processing Systems , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies International Conference on Machine Learning , pages=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Operations Research , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Operations Research , year=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Management Science , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Advances in Neural Information Processing Systems , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies European Journal of Operational Research , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies The Review of Financial Studies , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies INFOR: Information Systems and Operational Research , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies arXiv preprint arXiv:2509.14557 , year=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Advances in Neural Information Processing Systems , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Management Science , volume=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies International Conference on Artificial Intelligence and Statistics , pages=

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Differentiable convex optimization layers

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies End-to-end feasible optimization proxies for large-scale economic dispatch

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Task-based end-to-end model learning in stochastic optimization

Reference 69

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies predict, then optimize

Reference 70

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Decision trees for decision-making under the predict-then-optimize framework

Reference 71

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Mind the (optimality) gap: a gap-aware learning rate scheduler for adversarial nets

Reference 72

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Efficient global optimization of expensive black-box functions

Reference 73

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Stochastic optimization forests

Reference 74

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Unresolved cited work

Reference 75

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Reference 76

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Data-driven sample average approximation with covariate information

Reference 77

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Risk bounds and calibration for a smart predict-then-optimize method

Reference 78

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Decision-driven regularization: A blended model for predict-then-optimize

Reference 79

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Smart predict-and-optimize for hard combinatorial optimization problems

Reference 80

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Calibration by distribution matching: Trainable kernel calibration metrics

Reference 81

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Smooth minimization of non-smooth functions

Reference 82

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Sparse MAP : Differentiable sparse structured inference

Reference 83

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Applying deep learning to the newsvendor problem

Reference 84

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies A practical end-to-end inventory management model with deep learning

Reference 85

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Tyrrell Rockafellar

Reference 86

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Tyrrell Rockafellar and Roger J.-B

Reference 87

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Schneider and Daniel Kuhn

Reference 88

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Practical B ayesian optimization of machine learning algorithms

Reference 89

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Machine learning meets M arkowitz

Reference 90

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies On data-driven prescriptive analytics with side information: A regularized N adaraya-- W atson approach

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-31T23:30:24.827967Z

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization

Reference 92

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Data-driven piecewise affine decision rules for stochastic programming with covariate information

Reference 93

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Smooth Learning with Hard Constraints via Legendre-Regularized Policies Deep Learning for Portfolio Optimization

Reference 94

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