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Priya Donti - Optimization-in-the-loop AI for energy and climate - IPAM at UCLA
Presenter
- Priya Donti
February 28, 2023
IPAM
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions
Presenter
- Segev Wasserkug
February 28, 2023
IPAM
Rahul Mazumder - Discrete Optimization-aided Structured Learning at Scale - IPAM at UCLA
Presenter
- Rahul Mazumder
March 3, 2023
IPAM
Thomas Laurent - Feature Learning and Generalization on a Discrete Data Model - IPAM at UCLA
Presenter
- Thomas Laurent
February 28, 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
Louis Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery
Presenter
- Louis-Martin Rousseau
March 1, 2023
IPAM
Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains
Presenter
- Phebe Vayanos
March 1, 2023
IPAM
Tias Guns - Prediction + Optimisation: without and with decision-focused learning - IPAM at UCLA
Presenter
- Tias Guns
March 2, 2023
IPAM
Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
Presenter
- Ellen Vitercik
February 28, 2023
IPAM