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Contributions to deep learning using a mathematical approach: improved model uncertainty, certified robust models, and faster training of Neural ODEs
Presenter
- Adam Oberman
October 5, 2020
IPAM
Causal Inference, Uncertainty, and Health Policy Decision Making
Presenter
- Sharon-Lise Normand
January 17, 2019
ICERM
Bayesian Calibration of Multistate Stochastic Simulators
Presenter
- Oksana Chkrebtii
April 24, 2018
IMA
Sparse Approximation, List Decoding, and Uncertainty Principles
Presenter
- Anna Gilbert
May 16, 2016
IMA
Predictability, uncertainty and the persistence of ecological populations
Presenter
- Alan Hastings
October 26, 2015
MBI
Testing Computational Models Against Data in the Presence of Uncertainty
Presenter
- Robert Moser
June 23, 2015
IMA
Optimizing Building Operations in the Presence of Occupant-Driven Uncertainty and Grid Feedback
Presenter
- Gregor Henze
June 13, 2013
IMA
Population persistence in the face of demographic and environmental uncertainty
Presenter
- Sebastian Schreiber
October 26, 2011
MBI
A map-based approach to Bayesian inference in inverse problems
Presenter
- Youssef Marzouk
June 8, 2011
IMA
Multi-scale structural optimization in the presence of uncertainty for very large composite structures
Presenter
- Robert Lipton
October 22, 2010
IMA
Information-directed Exploration in Bandits and Reinforcement Learning
Presenter
- Andreas Krause
April 16, 2021
IMSI
A Stochastic Generator of Global Monthly Wind Energy with Tukey g-and-h Autoregressive Processes
Presenter
- Marc Genton
September 28, 2018
IPAM