78 citations · 81 across the 4 of their papers we have counts for
4 papers
Total Empiricism: Learning from Data
Orestis Loukas, Ho Ryun Chung
Statistical analysis is an important tool to distinguish systematic from chance findings. Current statistical analyses rely on distributional assumptions reflecting the structure o…
Demographic Parity: Mitigating Biases in Real-World Data
Orestis Loukas, Ho-Ryun Chung
Computer-based decision systems are widely used to automate decisions in many aspects of everyday life, which include sensitive areas like hiring, loaning and even criminal sentenc…
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…
Non-supersymmetric heterotic model building
Michael Blaszczyk, Stefan Groot Nibbelink, Orestis Loukas +1
We investigate orbifold and smooth Calabi-Yau compactifications of the non-supersymmetric heterotic SO(16)xSO(16) string. We focus on such Calabi-Yau backgrounds in order to recycl…