23 citations · 34 across the 7 of their papers we have counts for
8 papers
Generative Sequential Notification Optimization via Multi-Objective Decision Transformers
Borja Ocejo, Ruofan Wang, Ke Liu +7
Notifications are an important communication channel for delivering timely and relevant information. Optimizing their delivery involves addressing complex sequential decision-makin…
On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors
Arun K. Kuchibhotla, Rohit K. Patra
We consider least squares estimation in a general nonparametric regression model. The rate of convergence of the least squares estimator (LSE) for the unknown regression function i…
A machine--vision method for automatic classification of stellar halo substructure
David Hendel, Kathryn V. Johnston, Rohit K. Patra +1
Tidal debris structures formed from disrupted satellites contain important clues about the assembly histories of galaxies. To date, studies of these structures have been hampered b…
Semiparametric Efficiency in Convexity Constrained Single Index Model
Arun K. Kuchibhotla, Rohit K. Patra, Bodhisattva Sen
We consider estimation and inference in a single index regression model with an unknown convex link function. We introduce a convex and Lipschitz constrained least squares estimato…
Efficient Estimation in Single Index Models through Smoothing splines
Arun Kumar Kuchibhotla, Rohit Kumar Patra
We consider estimation and inference in a single index regression model with an unknown but smooth link function. In contrast to the standard approach of using kernels or regressio…
On a Nonparametric Notion of Residual and its Applications
Rohit Kumar Patra, Bodhisattva Sen, Gabor Szekely
Let be a continuous random vector in , . In this paper, we define the notion of a nonparametric residual of on $\math…
Estimation of a Two-component Mixture Model with Applications to Multiple Testing
Rohit Kumar Patra, Bodhisattva Sen
We consider a two-component mixture model with one known component. We develop methods for estimating the mixing proportion and the unknown distribution nonparametrically, given i.…
A Consistent Bootstrap Procedure for the Maximum Score Estimator
Rohit Kumar Patra, Emilio Seijo, Bodhisattva Sen
In this paper we study the applicability of the bootstrap to do inference on Manski's maximum score estimator under the full generality of the model. We propose three new, model-ba…