5 papers
M3D-FLOW: A Monolithic 3-D-Stackable Processing-Near-DRAM Architecture for Generative Normalizing Flow Applications
Bipin Thapa Magar, Ishan Thakkar, Sudeep Pasricha
Normalizing Flows (NFs) have shown strong results in generative modeling, recently reaching state-of-the-art image generation performance. However, their repetitive, sequential ope…
Transporting Randomized Trial Effects to Real-World Populations via Riesz-Calibrated Optimal Transport
Anik Burman, Margaret Gamalo, Promit Ghosal +1
Randomized trials support causal inference, but differences between trial and target populations can limit the transportability of treatment effects to real-world settings. Many ex…
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
Ruzhang Zhao, Prosenjit Kundu, Arkajyoti Saha +1
Development of comprehensive prediction models are often of great interest in many disciplines of science, but datasets with information on all desired features often have small sa…
Analysis of Two-Phase Studies using Generalized Method of Moments
Prosenjit Kundu, Nilanjan Chatterjee
Two-phase design can reduce the cost of epidemiological studies by limiting the ascertainment of expensive covariates or/and exposures to an efficiently selected subset (phase-II)…
Generalized Meta-Analysis for Multiple Regression Models Across Studies with Disparate Covariate Information
Prosenjit Kundu, Runlong Tang, Nilanjan Chatterjee
Meta-analysis, because of both logistical convenience and statistical efficiency, is widely popular for synthesizing information on common parameters of interest across multiple st…