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Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains
Presenter
- Phebe Vayanos
March 1, 2023
IPAM
Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
Presenter
- Ellen Vitercik
February 28, 2023
IPAM
Vinod Nair - Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA
Presenter
- Vinod Nair
February 27, 2023
IPAM
John Harrison - Formalization and Automated Reasoning: A Personal and Historical Perspective
Presenter
- John Harrison
February 13, 2023
IPAM
Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms
Presenter
- Stefan Chmiela
January 25, 2023
IPAM
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Kristin Persson - Data-Driven Design for Energy Materials - IPAM at UCLA
Presenter
- Kristin Persson
January 24, 2023
IPAM
Oliver Eberle - Explainable structured machine learning in similarity, graph and transformer models
Presenter
- Oliver Eberle
January 12, 2023
IPAM
Optimization-Friendly Generic Mechanisms Without Money
Presenter
- Mark Braverman
December 12, 2022
IAS