PROGRAM
Days: Monday, May 29th Tuesday, May 30th Wednesday, May 31st Thursday, June 1st
Monday, May 29th
View this program: with abstractssession overviewtalk overview
09:30-10:30 Session 2: Master Class I: TSP and CP
09:30 | The TSP in CP (abstract) |
10:30-11:00Coffee Break
11:00-12:00 Session 3: Master Class II: Decision Diagrams
11:00 | Decision Diagram Relaxations for Vehicle Routing (abstract) |
12:00-13:30Lunch Break
13:30-14:30 Session 4: Master Class III: Public Routing
13:30 | Public transit routing : From the shortest path to the multi-objective problem (abstract) |
14:30-15:30 Session 5: Master Class IV: Practice
14:30 | Solving routing problems at Google scale. (abstract) PRESENTER: Steven Gay |
15:30-16:00Coffee Break
16:00-17:00 Session 6: Master Class V: Transportation and Risk
16:00 | On Risk and Tractability in Transportation Models (abstract) |
19:00-22:00Welcome Reception
The reception will be held at the same location as the conference.
Tuesday, May 30th
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08:30-09:00 Session 7: 20 Years of CPAIOR
08:30 | 20th edition: A short history of the creation of CPAIOR PRESENTER: Jean-Charles Régin |
09:00-10:40 Session 8: Machine Learning and Optimization I
Chair:
09:00 | Online Learning for Scheduling MIP Heuristics (abstract) |
09:25 | OAMIP: Optimizing ANN Architectures using Mixed-Integer Programming (abstract) |
09:50 | Cutting Plane Selection with Analytic Centers and Multiregression (abstract) |
10:15 | Contextual Robust Optimisation with Uncertainty Quantification (abstract) |
10:40-11:00Coffee Break
11:00-12:15 Session 9: Network Architectures and Graphical Models
Chair:
11:00 | Efficiently Approximating High-dimensional Pareto Frontiers for Tree-structured Networks using Expansion and Compression (abstract) |
11:25 | ZDD-Based Algorithmic Framework for Solving Shortest Reconfiguration Problems (abstract) |
11:50 | Virtual Pairwise Consistency in Cost Function Networks (abstract) |
12:15-13:30Lunch
13:30-14:30 Session 10: Keynote Speaker
Chair:
13:30 | Bilevel Optimization Under Uncertainty: Challenges and Opportunities (abstract) |
14:30-15:45 Session 11: Symmetry and Reductions in Optimization
Chair:
14:30 | Handling Symmetries in Mixed-Integer Semidefinite Programs (abstract) |
14:55 | A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination (abstract) |
15:20 | Breaking Symmetries with High Dimensional Graph Invariants and their Combination (abstract) |
15:45-16:15Coffee Break
16:15-17:30 Session 12: Constraint Programming
Chair:
16:15 | Exploiting Entropy in Constraint Programming (abstract) |
16:40 | Constraint Propagation on GPU: A Case Study for the Cumulative Constraint (abstract) |
17:05 | Constraint programming for the robust two-machine flow-shop scheduling problem with budgeted uncertainty (abstract) |
17:30-18:00Coffee Break
18:00-18:45 Session 13: Extended Abstracts I: AI & Optimization
Chair:
18:00 | Domain-Independent Dynamic Programming: A Novel Model-Based Paradigm Bridging AI and OR (abstract) |
18:15 | Finding Regions of Counterfactual Explanations via Robust Optimization (abstract) |
18:30 | Online data-driven stochastic optimization with contextual features: an application in electricity market (abstract) |
Wednesday, May 31st
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09:00-10:40 Session 14: Machine Learning and Optimization II
Chair:
09:00 | Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints (abstract) |
09:25 | NER4OPT: Named Entity Recognition for Optimization Modelling from Natural Language (abstract) |
09:50 | Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill? (abstract) PRESENTER: Thibaut Vidal |
10:15 | Getting away with more network pruning: From sparsity to geometry and linear regions (abstract) |
10:40-11:00Coffee Break
11:00-12:15 Session 15: Prediction and Clustering
Chair:
11:00 | Interpretable Clustering via Soft Clustering Trees (abstract) |
11:25 | Scalable and Near-Optimal epsilon-tube Clusterwise Regression (abstract) |
11:50 | Predicting the Optimal Period for Cyclic Hoist Scheduling Problems (abstract) |
12:15-13:30Lunch
13:30-14:30 Session 16: Keynote Speaker
Chair:
13:30 | Robustness, Privacy, Fairness, and Credibility? Pushing the Boundaries of Economic Design with Deep Learning (abstract) |
14:30-15:45 Session 17: Relaxations, Restrictions, and Search
Chair:
14:30 | Local Branching Relaxation Heuristics for Integer Linear Programs (abstract) |
14:55 | Combining incomplete search and clause generation: an application to the Orienteering Problem with Time Windows (abstract) PRESENTER: Trong-Hieu Tran |
15:20 | Optimization Bounds from Decision Diagrams in Haddock (abstract) |
15:45-16:15Coffee Break
16:15-17:15 Session 18: Extended Abstracts II: Machine Learning
Chair:
16:15 | A Neural Network-Based Distributional Constraint Learning Methodology for Mixed-Integer Stochastic Optimization (abstract) |
16:30 | Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus (abstract) |
16:45 | Optimal Shapelets Tree for Time Series Interpretable Classification (abstract) |
20:00-23:59Banquet
Banquet at Le galet, located at 3 Promenade des Anglais
Thursday, June 1st
View this program: with abstractssession overviewtalk overview
09:00-09:30 Session 19: CPAIOR: Past, Present, and Future
09:00 | CPAIOR 2024 |
09:15 | The 20 Papers of 20 Years (abstract) |
09:30-10:30 Session 20: Best Paper Awards
Chair:
09:30 | Objective-Based Counterfactual Explanations for Linear Discrete Optimization (abstract) |
09:55 | Column Elimination for Capacitated Vehicle Routing Problems (abstract) |
10:30-11:00Coffee Break
11:00-12:15 Session 21: Model Counting and Boolean Arithmetic
Chair:
11:00 | A Weighted Counting Algorithm for the Circuit Constraint (abstract) PRESENTER: Gauthier Pezzoli |
11:25 | Generating Random Instances of Weighted Model Counting: An Empirical Analysis with Varying Primal Treewidth (abstract) |
11:50 | Boolean-Arithmetic Equations: Acquisition and Uses (abstract) |
12:15-13:30Lunch
13:30-14:30 Session 22: Keynote Speaker
Chair:
13:30 | OR and AI Applications in the Travel Industry (abstract) |
14:30-16:10 Session 23: Practice and Applications of CPAIOR
Chair:
14:30 | Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths (abstract) |
14:55 | Multi-Objective Optimization for Designing Salary Structures (abstract) |
15:20 | Scheduling Complex Observation Requests for a Constellation of Satellites: Large Neighborhood Search Approaches (abstract) |
15:45 | An iterated greedy constraint programming for the steelmaking continuous casting scheduling (abstract) |
16:10-16:45Coffee Break
16:45-17:45 Session 24: Extended Abstracts III: Applications & Boolean Rules
Chair:
16:45 | Optimizing Operations Planning of Stand-Alone Battery Storage Using Stochastic Dual Dynamic Programming: A Case Study of German Households (abstract) |
17:00 | Arc travel time and path choice model estimation subsumed (abstract) |
17:15 | Data-driven joint chance-constrained optimization for the workover rig scheduling problem (abstract) |
17:30 | Finding Boolean rules in binary data by counting ones (abstract) |