mixed integer programming

MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers AAAI 2022 Neur2SP: Neural Two-Stage Stochastic Programming NeurIPS 2022 Robust Optimal Classification Trees against Adversarial Examples AAAI 2022 Safe Control with Neural Network Dynamic Models L4DC 2022 Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring NeurIPS 2022 A Scalable Deterministic Global Optimization Algorithm for Clustering Problems ICML 2021 Binary Matrix Factorisation via Column Generation AAAI 2021 Data-Driven Multimodal Patrol Planning for Anti-poaching AAAI 2021 Defending against Contagious Attacks on a Network with Resource Reallocation AAAI 2021 Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery IJCAI 2021 Learning Binary Decision Trees by Argmin Differentiation ICML 2021 Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021 Learning To Scale Mixed-Integer Programs AAAI 2021 Learning to Schedule Heuristics in Branch and Bound NeurIPS 2021 Lyapunov-stable neural-network control RSS 2021 Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service AAAI 2021 Optimal Counterfactual Explanations in Tree Ensembles ICML 2021 Parameterized Algorithms for MILPs with Small Treedepth AAAI 2021 Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances AAAI 2021 Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls NeurIPS 2021 Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction AAAI 2020 A Global Quasi-Dynamic Model for Contact-Trajectory Optimization in Manipulation RSS 2020 An ADMM Based Framework for AutoML Pipeline Configuration AAAI 2020 A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees NeurIPS 2020 Branch and Bound for Piecewise Linear Neural Network Verification JMLR 2020