{"total":16,"rows":[{"id":"2305.00241","title":"When Deep Learning Meets Polyhedral Theory: A Survey","created":"2023-04-29","cited_by_count":39,"area":null},{"id":"2207.05984","title":"Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation","created":"2022-07-13","cited_by_count":32,"area":null},{"id":"2210.12547","title":"SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems","created":"2022-10-22","cited_by_count":21,"area":null},{"id":"2211.08262","title":"A mixed-categorical correlation kernel for Gaussian process","created":"2022-11-15","cited_by_count":19,"area":null},{"id":"2207.00879","title":"Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces","created":"2022-07-02","cited_by_count":14,"area":null},{"id":"2111.10489","title":"Modeling Design and Control Problems Involving Neural Network Surrogates","created":"2021-11-20","cited_by_count":9,"area":null},{"id":"2208.14698","title":"Bayesian Optimization-based Combinatorial Assignment","created":"2022-08-31","cited_by_count":9,"area":null},{"id":"2410.16893","title":"Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation","created":"2024-10-22","cited_by_count":8,"area":null},{"id":"2202.05198","title":"P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints","created":"2022-02-10","cited_by_count":7,"area":null},{"id":"2211.07767","title":"Learning to Optimize with Stochastic Dominance Constraints","created":"2022-11-14","cited_by_count":5,"area":null},{"id":"2503.03625","title":"Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2406.05830","title":"Probabilistic Approach to Black-Box Binary Optimization with Budget Constraints: Application to Sensor Placement","created":"2024-06-09","cited_by_count":1,"area":null},{"id":"2302.04686","title":"Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates","created":"2023-02-09","cited_by_count":0,"area":null},{"id":"2505.20997","title":"BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2609.09370","title":"Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.33131","title":"ILP-BO: Integer Linear Programming-Based Black-Box Optimization","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}