Andrea Lodi

Speaker

• Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming

  25 Jul 2024 14:00 — Keynote

Chair

• TC289 — On Machine Learning for Mathematical Optimization

  23 Jul 2024 16:20 — Parallel Session

Co-author

• A Novel Column Generation Framework for One-for-many Counterfactual Explanations

  MB248 — Distance Optimization in Data Science
  22 Jul 2024 14:00 — Parallel Session

• Exact and Approximate Solution Methods for Convex Binary Quadratic Optimization

  MB12 — Binary Quadratic Programming
  22 Jul 2024 14:00 — Parallel Session

• Stochastic optimization of bus schedules

  TB952 — Scheduling and manufacturing 1
  23 Jul 2024 14:00 — Parallel Session

• Interactive learning of a knapsack constraint using a membership oracle

  TC289 — On Machine Learning for Mathematical Optimization
  23 Jul 2024 16:20 — Parallel Session

• A machine learning approach for neighbor generation in metaheuristic search

  WA927 — Machine Learning and Discrete Optimization 1
  24 Jul 2024 08:30 — Parallel Session

• On the Coupling Between Charging Scheduling of Electrified Bus Fleets and Grid Pricing

  ThB33 — Learning from Optimization in Energy
  25 Jul 2024 14:00 — Parallel Session

• Novel Branch & Bound Tree Management for Fast Convergence of MIPs on Parallel Computers

  ThB963 — Industrial applications 1
  25 Jul 2024 14:00 — Parallel Session

• Assortment Optimization with Visibility Constraints

  FB225 — Fairness via Optimization Modeling and Approximation Algorithms
  26 Jul 2024 14:00 — Parallel Session

• A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing Systems

  FB172 — Demand-based and stochastic urban transportation planning
  26 Jul 2024 14:00 — Parallel Session