2.5k citations · 3.6k across the 46 of their papers we have counts for
49 papers
From Thomas Bayes to Big Data: On the feasibility of being a subjective Bayesian
Ya'acov Ritov
We argue that the Bayesian paradigm, of a prior which represents the beliefs of the statistician before observing the data, is not feasible in ultra-high-dimensional models. We cla…
Learning In Reverse Causal Strategic Environments With Ramifications on Two Sided Markets
Seamus Somerstep, Yuekai Sun, Ya'acov Ritov
Motivated by equilibrium models of labor markets, we develop a formulation of causal strategic classification in which strategic agents can directly manipulate their outcomes. As a…
Distributional Robustness and Transfer Learning Through Empirical Bayes
Michael Law, Peter Bühlmann, Ya'acov Ritov
We consider the problem of statistical inference on parameters of a target population when auxiliary observations are available from related populations. We propose a flexible empi…
Longitudinal Position and Cancer Risk in the United States Revisited
Jin Niu, Charlotte Brown, Michael Law +2
Background: The debate over daylight saving time has surged, with interests in the effects of sunlight exposure on health. \commentnj{Prior studies simulated daylight saving time a…
Rank-Constrained Least-Squares: Prediction and Inference
Michael Law, Ya'acov Ritov, Ruixiang Zhang +1
In this work, we focus on the high-dimensional trace regression model with a low-rank coefficient matrix. We establish a nearly optimal in-sample prediction risk bound for the rank…
High-Dimensional Varying Coefficient Models with Functional Random Effects
Michael Law, Ya'acov Ritov
We consider a sparse high-dimensional varying coefficients model with random effects, a flexible linear model allowing covariates and coefficients to have a functional dependence w…