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Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA
Presenter
- Bartolomeo Stellato
March 1, 2023
IPAM
Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains
Presenter
- Phebe Vayanos
March 1, 2023
IPAM
Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA
Presenter
- Hamsa Bastani
March 1, 2023
IPAM
Yuandong Tian - AI-guided nonlinear optimization for real-world problems - IPAM at UCLA
February 28, 2023
IPAM
Yuandong Tian - AI-guided nonlinear optimization for real-world problems - IPAM at UCLA
Presenter
- Yuandong Tian
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
Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Presenter
- Segev Wasserkug
February 28, 2023
IPAM
Vinod Nair - Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA
Presenter
- Vinod Nair
February 27, 2023
IPAM
Matej Balog - AlphaTensor: Discover faster matrix multiplication algorithms with RL - IPAM at UCLA
Presenter
- Matej Balog
February 27, 2023
IPAM
Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA
Presenter
- Xavier Bresson
February 27, 2023
IPAM
Petra Hozzova - Automation of Induction in Saturation - IPAM at UCLA
Presenter
- Petra Hozzova
February 17, 2023
IPAM
Pascal Fontaine - SMT: quantifiers, and future prospects - IPAM at UCLA
Presenter
- Pascal Fontaine
February 16, 2023
IPAM