430 citations · 512 across the 19 of their papers we have counts for
5 papers · 1 filter
Diagnosing Model Performance Under Distribution Shift
Tiffany Tianhui Cai, Hongseok Namkoong, Steve Yadlowsky
Prediction models can perform poorly when deployed to target distributions different from the training distribution. To understand these operational failure modes, we develop a met…
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky, Taedong Yun, Cory McLean +1
Logistic regression remains one of the most widely used tools in applied statistics, machine learning and data science. However, in moderately high-dimensional problems, where the…
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky +1
When observed decisions depend only on observed features, off-policy policy evaluation (OPE) methods for sequential decision making problems can estimate the performance of evaluat…
Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data
Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto +2
While sample sizes in randomized clinical trials are large enough to estimate the average treatment effect well, they are often insufficient for estimation of treatment-covariate i…
Derivative free optimization via repeated classification
Tatsunori B. Hashimoto, Steve Yadlowsky, John C. Duchi
We develop an algorithm for minimizing a function using batched function value measurements at each of rounds by using classifiers to identify a function's sublevel set. We…