mlsanityData to 7 Oct 2026

AI4OPT: AI Institute for Advances in Optimization

arXiv 2307.02671 ↗First posted 5 Jul 2023math.OC cs.AIcited by 6

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Abstract (arXiv)

This article is a short introduction to AI4OPT, the NSF AI Institute for Advances in Optimization. AI4OPT fuses AI and Optimization, inspired by end-use cases in supply chains, energy systems, chip design and manufacturing, and sustainable food systems. AI4OPT also applies its "teaching the teachers" philosophy to provide longitudinal educational pathways in AI for engineering.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 16 of its 22 references that are in the map. First posted on arXiv 5 Jul 2023.

Builds on

16 of 22 references.

References · 16

  1. 2022Sequential Predictive Conformal Inference for Time Seriescited by 71
  2. 2022Self-Supervised Primal-Dual Learning for Constrained Optimizationcited by 60
  3. 2023Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learningcited by 37
  4. 2023End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatchcited by 35
  5. 2021Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatchcited by 29
  6. 2022SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problemscited by 21
  7. 2022Multi-Goal Multi-Agent Pickup and Deliverycited by 12
  8. 2023Compact Optimization Learning for AC Optimal Power Flowcited by 11
  9. 2022Which Lp norm is the fairest? Approximations for fair facility location across all "p"cited by 9
  10. 2020Supermodularity and valid inequalities for quadratic optimization with indicatorscited by 5
  11. 2022A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluationcited by 3
  12. 2023Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theoremscited by 3
4 more
  1. 2023Dual dynamic programming for stochastic programs over an infinite horizoncited by 2
  2. 2023Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schoolscited by 2
  3. 2021Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks using Submodularitycited by 1
  4. 2023Numerical Methods for Convex Multistage Stochastic Optimizationcited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 1; 2026: 3.

6 papers.

  1. 2023Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programmingcited by 10
  2. 2025Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programmingcited by 2
  3. 2026Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programmingcited by 2
  4. 2026Learning to Optimize by Differentiable Programmingcited by 1
  5. 2024Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Toolscited by 0
  6. 2026Fusing Backdoors, Machine Learning, and Optimization for Large-Scale Parametric Mixed-Integer Programscited by 0