3 papers
stat.ML2024
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation
Demetrios Papakostas, Andrew Herren, P. Richard Hahn +1
Causal inference has gained much popularity in recent years, with interests ranging from academic, to industrial, to educational, and all in between. Concurrently, the study and us…
stat.ME2021
Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis
Demetrios Papakostas, P. Richard Hahn, Jared Murray +2
It is widely speculated that auditors' public forecasts of bankruptcy are, at least in part, self-fulfilling prophecies in the sense that they might actually cause bankruptcies tha…
cond-mat.str-el2018
Low-Temperature and Dynamic Magnetism of Highly Frustrated 5d2 Li4MgOsO6 Polymorphs in Comparison with 5d3 Li3Mg2OsO6
Gia T. Tran, Phuong-Hieu T. Nguyen, Charles J. Bloed +12
Geometric magnetic frustration (GMF) has attracted substantial interest due to the exotic physics and rich phase diagrams revealed by the cancellation of normally-dominant magnetic…