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stat.ME2022
Entropy-based Characterization of Modeling Constraints
Orestis Loukas, Ho Ryun Chung
In most data-scientific approaches, the principle of Maximum Entropy (MaxEnt) is used to a posteriori justify some parametric model which has been already chosen based on experienc…
hep-th2022
Categorical Distributions of Maximum Entropy under Marginal Constraints
Orestis Loukas, Ho Ryun Chung
The estimation of categorical distributions under marginal constraints summarizing some sample from a population in the most-generalizable way is key for many machine-learning and…