MIPaaL differentiates through mixed integer programs via cutting planes to enable decision-focused learning for general MIPs, outperforming two-stage prediction-plus-optimization and LP-relaxation baselines on real-world domains.
predict, then optimize
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Presents a fail-closed certification protocol for determining when forecasting leaderboard winners are deployment-actionable, using a traffic dataset to show friction-induced reversals and an audit to prevent overclaiming.
Bounded retained search over frozen time-series traces improves delayed constrained first actions only under delayed feasible-set coupling, retained-prefix margins, and fail-closed release certificates, with one promoted M4 endpoint.
A tutorial framing deep learning as a complement to optimization for sequential decision-making under uncertainty, with applications in supply chains, healthcare, and energy.
citing papers explorer
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MIPaaL: Mixed Integer Program as a Layer
MIPaaL differentiates through mixed integer programs via cutting planes to enable decision-focused learning for general MIPs, outperforming two-stage prediction-plus-optimization and LP-relaxation baselines on real-world domains.
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From Forecasting Leaderboards to Deployment Decisions: A Fail-Closed Certification Protocol
Presents a fail-closed certification protocol for determining when forecasting leaderboard winners are deployment-actionable, using a traffic dataset to show friction-induced reversals and an audit to prevent overclaiming.
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UC-Search: Risk-Aware Test-Time Search for Delayed Constrained Time-Series Control
Bounded retained search over frozen time-series traces improves delayed constrained first actions only under delayed feasible-set coupling, retained-prefix margins, and fail-closed release certificates, with one promoted M4 endpoint.
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Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers
A tutorial framing deep learning as a complement to optimization for sequential decision-making under uncertainty, with applications in supply chains, healthcare, and energy.