Workshop paper
Knowledge from Uncertainty in Evidential Deep Learning
Cai Davies, Marc Roig Vilamala, et al.
KDD 2023
The use of von Neumann -- Morgenstern utility is examined in the context of multiple choices between lotteries. Different conclusions are reached if the choices are simultaneous or sequential. It is demonstrated that utility cannot be additive.
Cai Davies, Marc Roig Vilamala, et al.
KDD 2023
S. Ilker Birbil, Donato Maragno, et al.
AAAI 2023
Sameer Deshpande, Soumya Ghosh, et al.
NeurIPS 2022
Abhin Shah, Yuheng Bu, et al.
ICML 2022