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Rahul Mazumder - Discrete Optimization-aided Structured Learning at Scale - IPAM at UCLA
Presenter
- Rahul Mazumder
March 3, 2023
IPAM
Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts & loss functions
Presenter
- Stefanie Jegelka
March 2, 2023
IPAM
Tias Guns - Prediction + Optimisation: without and with decision-focused learning - IPAM at UCLA
Presenter
- Tias Guns
March 2, 2023
IPAM
Petar Veličković - Reasoning Algorithmically: from Toy Experiments to AGI Modules - IPAM at UCLA
Presenter
- Petar Veličković
March 2, 2023
IPAM
Elias Khalil - Neur2SP: Neural Two-Stage Stochastic Programming - IPAM at UCLA
Presenter
- Elias Khalil
March 2, 2023
IPAM
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
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
Louis Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery
Presenter
- Louis-Martin Rousseau
March 1, 2023
IPAM
Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA
Presenter
- Timo Berthold
March 1, 2023
IPAM