{"total":34,"rows":[{"id":"2103.12828","title":"Learning to Optimize: A Primer and A Benchmark","created":"2021-03-23","cited_by_count":208,"area":null},{"id":"2202.00665","title":"Tutorial on amortized optimization","created":"2022-02-01","cited_by_count":83,"area":null},{"id":"2309.07835","title":"Learning to Warm-Start Fixed-Point Optimization Algorithms","created":"2023-09-14","cited_by_count":32,"area":null},{"id":"2508.10480","title":"Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers","created":"2025-08-14","cited_by_count":19,"area":null},{"id":"2406.05938","title":"Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs","created":"2024-06-09","cited_by_count":16,"area":null},{"id":"2410.11061","title":"Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees","created":"2024-10-14","cited_by_count":8,"area":null},{"id":"2502.15791","title":"Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling","created":"2025-02-18","cited_by_count":7,"area":null},{"id":"2110.09076","title":"An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents","created":"2021-10-18","cited_by_count":6,"area":null},{"id":"2207.02937","title":"Learning Optimal Solutions via an LSTM-Optimization Framework","created":"2022-07-06","cited_by_count":6,"area":null},{"id":"2310.07082","title":"Taking the human out of decomposition-based optimization via artificial intelligence: Part II. Learning to initialize","created":"2023-10-10","cited_by_count":5,"area":null},{"id":"2311.05135","title":"Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction","created":"2023-11-09","cited_by_count":5,"area":null},{"id":"2404.13831","title":"Data-Driven Performance Guarantees for Classical and Learned Optimizers","created":"2024-04-22","cited_by_count":5,"area":null},{"id":"2412.18529","title":"Accelerating process control and optimization via machine learning: A review","created":"2024-12-24","cited_by_count":5,"area":null},{"id":"2311.06972","title":"An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making","created":"2023-11-12","cited_by_count":4,"area":null},{"id":"2410.03720","title":"NeuralQP: A General Hypergraph-based Optimization Framework for Large-scale QCQPs","created":"2024-09-28","cited_by_count":4,"area":null},{"id":"2307.12409","title":"A Machine Learning Approach to Two-Stage Adaptive Robust Optimization","created":"2023-07-23","cited_by_count":3,"area":null},{"id":"2311.03350","title":"Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization","created":"2023-11-06","cited_by_count":3,"area":null},{"id":"2102.02125","title":"Generative deep learning for decision making in gas networks","created":"2021-02-03","cited_by_count":2,"area":null},{"id":"2502.03016","title":"An analysis of optimization problems involving ReLU neural networks","created":"2025-02-05","cited_by_count":2,"area":null},{"id":"2508.18742","title":"Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming","created":"2025-08-26","cited_by_count":2,"area":null},{"id":"2107.00987","title":"Sub-millisecond Video Synchronization of Multiple Android Smartphones","created":"2021-07-02","cited_by_count":1,"area":null},{"id":"2307.12405","title":"Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach","created":"2023-07-23","cited_by_count":1,"area":null},{"id":"2401.09556","title":"Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality","created":"2024-01-17","cited_by_count":1,"area":null},{"id":"2408.16890","title":"Robotic warehousing operations: a learn-then-optimize approach to large-scale neighborhood search","created":"2024-08-29","cited_by_count":1,"area":null},{"id":"2512.10211","title":"ID-PaS+ : Identity-Aware Predict-and-Search for General Mixed-Integer Linear Programs","created":"2025-12-11","cited_by_count":1,"area":null},{"id":"2604.05640","title":"Parametric Nonconvex Optimization via Convex Surrogates","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2301.10703","title":"A Sequential Deep Learning Algorithm for Sampled Mixed-integer Optimisation Problems","created":"2023-01-25","cited_by_count":0,"area":null},{"id":"2310.08601","title":"Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier","created":"2023-10-07","cited_by_count":0,"area":null},{"id":"2407.18989","title":"Machine Learning for Fairness-Aware Load Shedding: A Real-Time Solution via Identifying Binding Constraints","created":"2024-07-25","cited_by_count":0,"area":null},{"id":"2507.09050","title":"Learning to Solve Constrained Bilevel Control Co-Design Problems","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2510.26061","title":"Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2607.20769","title":"Memory-Computation Tradeoffs in Semi Amortized Parametric Optimization","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2608.13079","title":"Constrained Graph Diffusion for Mixed Integer Optimization","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2609.17964","title":"Mixed-Integer Nonlinear Differentiable Predictive Control for Underground Pumped Hydro Energy Storage Systems","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}