3 papers
cs.LG2026
Drifting Models for Surrogate Flow Modeling
Chris R. Jung, Markus Dörr, Natalie Jüngling +3
While Computational Fluid Dynamics (CFD) provides high-fidelity flow fields for optimizing indoor environments, its computational cost limits rapid exploration. To solve this probl…
stat.ML2024
Orthogonal Causal Calibration
Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis +2
Estimates of heterogeneous treatment effects such as conditional average treatment effects (CATEs) and conditional quantile treatment effects (CQTEs) play an important role in real…
cs.LG2024
Taking a Moment for Distributional Robustness
Jabari Hastings, Christopher Jung, Charlotte Peale +1
A rich line of recent work has studied distributionally robust learning approaches that seek to learn a hypothesis that performs well, in the worst-case, on many different distribu…