CPAIOR 2023: THE 20TH INTERNATIONAL CONFERENCE ON THE INTEGRATION OF CONSTRAINT PROGRAMMING, ARTIFICIAL INTELLIGENCE, AND OPERATIONS RESEARCH
PROGRAM

Days: Monday, May 29th Tuesday, May 30th Wednesday, May 31st Thursday, June 1st

Monday, May 29th

View this program: with abstractssession overviewtalk overview

10:30-11:00Coffee Break
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
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
09:00-10:40 Session 8: Machine Learning and Optimization I
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
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
13:30
Bilevel Optimization Under Uncertainty: Challenges and Opportunities (abstract)
14:30-15:45 Session 11: Symmetry and Reductions in Optimization
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
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
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
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
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
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
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
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

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09:30-10:30 Session 20: Best Paper Awards
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
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
13:30
OR and AI Applications in the Travel Industry (abstract)
14:30-16:10 Session 23: Practice and Applications of CPAIOR
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
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)