5 papers
Learning from a Biased Sample
Roshni Sahoo, Lihua Lei, Stefan Wager
The empirical risk minimization approach to data-driven decision making requires access to training data drawn under the same conditions as those that will be faced when the decisi…
Data Fusion for High-Resolution Estimation
Amy Guan, Roshni Sahoo, Joshua Salomon +2
High-resolution estimates of population health indicators are critical for precision public health. We propose a method for high-resolution estimation that fuses distinct data sour…
Ward identity preserving local ultraviolet counterterms for photoproduction at two loops in QCD
Charalampos Anastasiou, Julia Karlen, Roshni Sahoo +2
We review the construction of locally finite two-loop amplitude integrands for photoproduction via quark annihilation, presented in arXiv:2509.07805. Building on established techni…
General finite two-loop amplitude integrand for photoproduction in quark annihilation
Charalampos Anastasiou, Julia Karlen, Roshni Sahoo +2
The construction of integrands free of infrared and ultraviolet singularities may enable the application of numerical methods to evaluate loop amplitudes that are inaccessible with…
Policy Learning with Competing Agents
Roshni Sahoo, Stefan Wager
Decision makers often aim to learn a treatment assignment policy under a capacity constraint on the number of agents that they can treat. When agents can respond strategically to s…