2 citations · 6 across the 6 of their papers we have counts for
6 papers
Interventional Causal Discovery in a Mixture of DAGs
Burak Varıcı, Dmitriy Katz-Rogozhnikov, Dennis Wei +2
Causal interactions among a group of variables are often modeled by a single causal graph. In some domains, however, these interactions are best described by multiple co-existing c…
Causal Bandits with General Causal Models and Interventions
Zirui Yan, Dennis Wei, Dmitriy Katz-Rogozhnikov +2
This paper considers causal bandits (CBs) for the sequential design of interventions in a causal system. The objective is to optimize a reward function via minimizing a measure of…
Automated Meta-Analysis: A Causal Learning Perspective
Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney +1
Meta-analysis is a systematic approach for understanding a phenomenon by analyzing the results of many previously published experimental studies. It is central to deriving conclusi…
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
Kristjan Greenewald, Dmitriy Katz-Rogozhnikov, Karthik Shanmugam
The estimation of causal treatment effects from observational data is a fundamental problem in causal inference. To avoid bias, the effect estimator must control for all confounder…
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran +7
More than 200 generic drugs approved by the U.S. Food and Drug Administration for non-cancer indications have shown promise for treating cancer. Due to their long history of safe p…
Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times
David A. Goldberg, Dmitriy A. Katz-Rogozhnikov, Yingdong Lu +2
Lost sales inventory models with large lead times, which arise in many practical settings, are notoriously difficult to optimize due to the curse of dimensionality. In this paper w…