Dmitriy A. Katz-Rogozhnikov

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 12

Top Topics

Causal Discovery

Natural Language Processing

Top Venues

Publications

Zirui Yan, Dennis Wei, Dmitriy A. Katz-Rogozhnikov, Prasanna Sattigeri, Ali Tajer
Causal Bandits with General Causal Models and Interventions. CoRR (2024)
Burak Varici, Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Prasanna Sattigeri, Ali Tajer
Interventional Causal Discovery in a Mixture of DAGs. CoRR (2024)
Ioana Baldini, Mariana Bernagozzi, Sulbha Aggarwal, Mihaela A. Bornea, Saksham Chawla, Joppe Geluykens, Dmitriy A. Katz-Rogozhnikov, Pratik Mukherjee, Smruthi Ramesh, Sara Rosenthal, Jagrati Sharma, Kush R. Varshney, Laura B. Kleiman, Pradeep Mangalath, Catherine Del Vecchio Fitz
Exploring the Efficacy of Generic Drugs in Treating Cancer. AAAI (2021)
Sejal Dua, Ioana Baldini, Dmitriy A. Katz-Rogozhnikov, Emily van der Veen, Allison Britt, Pradeep Mangalath, Laura B. Kleiman, Catherine Del Vecchio Fitz
Biomedical Corpus Filtering: A Weak Supervision Paradigm With Infused Domain Expertise. SDU@AAAI (2021)
Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini
Automated Meta-Analysis: A Causal Learning Perspective. CoRR (2021)
Kristjan H. Greenewald, Karthikeyan Shanmugam, Dmitriy A. Katz-Rogozhnikov
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. AISTATS (2021)
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications. AAAI (2020)
Kristjan H. Greenewald, Dmitriy A. Katz-Rogozhnikov, Karthik Shanmugam
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. CoRR (2020)
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies. CoRR (2019)
Karthikeyan Natesan Ramamurthy, Dennis Wei, Emily Ray, Moninder Singh, Vijay S. Iyengar, Dmitriy A. Katz-Rogozhnikov, Jingwei Yang, Kevin N. Tran, Gigi Y. Yuen-Reed
A configurable, big data system for on-demand healthcare cost prediction. IEEE BigData (2017)
David A. Goldberg, Dmitriy A. Katz-Rogozhnikov, Yingdong Lu, Mayank Sharma, Mark S. Squillante
Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times. Math. Oper. Res. 41 (3) (2016)
Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
Toward Comprehensive Attribution of Healthcare Cost Changes. ICDM Workshops (2015)
Dennis Wei, Karthikeyan Natesan Ramamurthy, Dmitriy A. Katz-Rogozhnikov, Aleksandra Mojsilovic
Multiplicative regression via constrained least squares. SSP (2014)
Saikat Guha, Don Towsley, Prithwish Basu, Howard Tripp, Timothy Freeman, Dmitriy A. Katz-Rogozhnikov, Robert E. Hancock, Jim Kurose
Optimal sampling strategies for minimum latency routing with imperfect link state. WiOpt (2012)
Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh
MCMC inference of the shape and variability of time-response signals. ICASSP (2011)