3 citations · 4 across the 7 of their papers we have counts for
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stat.ME2023
Eliminating confounder-induced bias in the statistics of intervention
Orestis Loukas, Ho Ryun Chung
Experimental and observational studies often lead to spurious association between the outcome and independent variables describing the intervention, because of confounding to third…
math.ST2023
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…
cs.LG2023★ 3 cited
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…