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Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Presenter
- Segev Wasserkug
February 28, 2023
IPAM
Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Presenter
- Priya Donti
February 28, 2023
IPAM
Thomas Laurent - Feature Learning and Generalization on a Discrete Data Model - IPAM at UCLA
Presenter
- Thomas Laurent
February 28, 2023
IPAM
Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
Presenter
- Ellen Vitercik
February 28, 2023
IPAM
Yuandong Tian - AI-guided nonlinear optimization for real-world problems - IPAM at UCLA
Presenter
- Yuandong Tian
February 28, 2023
IPAM
Yuandong Tian - AI-guided nonlinear optimization for real-world problems - IPAM at UCLA
February 28, 2023
IPAM
Andrea Lodi - Continuous cutting plane algorithms in integer programming - IPAM at UCLA
Presenter
- Andrea Lodi
February 27, 2023
IPAM
Bistra Dilkina - Machine Learning for MIP Solving - IPAM at UCLA
Presenter
- Bistra Dilkina
February 27, 2023
IPAM
Vinod Nair - Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA
Presenter
- Vinod Nair
February 27, 2023
IPAM
Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA
Presenter
- Xavier Bresson
February 27, 2023
IPAM
Matej Balog - AlphaTensor: Discover faster matrix multiplication algorithms with RL - IPAM at UCLA
Presenter
- Matej Balog
February 27, 2023
IPAM