:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tang, Bo, Khalil, Elias B.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Optimization and Control
Online Access:	https://arxiv.org/abs/2312.07718
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
by: Tang, Bo, et al.
Published: (2024)

PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
by: Tang, Bo, et al.
Published: (2022)

Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks
by: Deza, Arnaud, et al.
Published: (2024)

Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs
by: Demelas, Francesco, et al.
Published: (2023)

A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming
by: Anh, Vu Duc, et al.
Published: (2024)

Deep Learning for Two-Stage Robust Integer Optimization
by: Dumouchelle, Justin, et al.
Published: (2023)

Neur2BiLO: Neural Bilevel Optimization
by: Dumouchelle, Justin, et al.
Published: (2024)

Online Linear Programming with Batching
by: Xu, Haoran, et al.
Published: (2024)

Fast sparse optimization via adaptive shrinkage
by: Cerone, Vito, et al.
Published: (2025)

Fast Algorithm for Constrained Linear Inverse Problems
by: Sheriff, Mohammed Rayyan, et al.
Published: (2022)

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
by: Li, Bingheng, et al.
Published: (2024)

ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
by: Huang, Weimin, et al.
Published: (2026)

Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming
by: Lu, Haihao, et al.
Published: (2021)

Fast Policy Learning for Linear Quadratic Control with Entropy Regularization
by: Guo, Xin, et al.
Published: (2023)

Linear Convergence of the Frank-Wolfe Algorithm over Product Polytopes
by: Iommazzo, Gabriele, et al.
Published: (2025)

A New Approach to Controlling Linear Dynamical Systems
by: Brahmbhatt, Anand, et al.
Published: (2025)

Predictive Linear Online Tracking for Unknown Targets
by: Tsiamis, Anastasios, et al.
Published: (2024)

Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization
by: Coppola, Corrado, et al.
Published: (2024)

Online Reinforcement Learning in Markov Decision Process Using Linear Programming
by: Leon, Vincent, et al.
Published: (2023)

Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching
by: Angell, Rico, et al.
Published: (2023)

A Mathematical Programming Approach to Optimal Classification Forests
by: Blanco, Víctor, et al.
Published: (2022)

FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
by: Hu, Yi-Xiang, et al.
Published: (2024)

Differentiable Integer Linear Programming is not Differentiable & it's not a mere technical problem
by: Sornwanee, Thanawat
Published: (2026)

Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
by: Scavuzzo, Lara, et al.
Published: (2024)

Active Learning For Contextual Linear Optimization: A Margin-Based Approach
by: Liu, Mo, et al.
Published: (2023)

Conformal Predictive Programming for Chance Constrained Optimization
by: Zhao, Yiqi, et al.
Published: (2024)

A Neural Network Framework for Discovering Closed-form Solutions to Quadratic Programs with Linear Constraints
by: Beylunioglu, Fuat Can, et al.
Published: (2025)

A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
by: Luo, Yujia, et al.
Published: (2026)

Accelerating Single-Pass SGD for Generalized Linear Prediction
by: Chen, Qian, et al.
Published: (2026)

Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced Constraints
by: Ozdaglar, Asuman, et al.
Published: (2022)

Symmetrizing Bregman Divergence on the Cone of Positive Definite Matrices: Which Mean to Use and Why
by: Sial, Tushar, et al.
Published: (2026)

Physics-informed Gaussian Processes as Linear Model Predictive Controller
by: Tebbe, Jörn, et al.
Published: (2024)

Interpolation Conditions for Data Consistency and Prediction in Noisy Linear Systems
by: Vanelli, Martina, et al.
Published: (2025)

Mixtures Closest to a Given Measure: A Semidefinite Programming Approach
by: Đurašinović, Srećko, et al.
Published: (2025)

Near-optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
by: Ding, Shihong, et al.
Published: (2026)

Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique
by: Kiruluta, Andrew, et al.
Published: (2024)

A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
by: Linghu, Yuxuan, et al.
Published: (2026)

Beyond $\mathcal{O}(\sqrt{T})$ Regret: Decoupling Learning and Decision-making in Online Linear Programming
by: Gao, Wenzhi, et al.
Published: (2025)

Aligned Multi Objective Optimization
by: Efroni, Yonathan, et al.
Published: (2025)

Derivative-free tree optimization for complex systems
by: Wei, Ye, et al.
Published: (2024)