Two of our papers got accepted as posters for the 33rd Conference on Neural Information Processing Systems (NeurIPS), taking place Dec 8th-14th, 2019, in Vancouver: Distributionally Optimistic Optimization Approach to Nonparametric Likelihood Approximation and Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. Both papers were written by Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh and Daniel Kuhn from EPFL as well as Man-Chung and Wolfram.
Wolfram Wiesemann
Models and Algorithms for Decision-Making under Uncertainty
