Dmitriy A. Katz-Rogozhnikov

According to our database, Dmitriy A. Katz-Rogozhnikov authored at least 34 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Causal Bandits with General Causal Models and Interventions.

Zirui Yan, Dennis Wei, Dmitriy A. Katz-Rogozhnikov, Prasanna Sattigeri, Ali Tajer

CoRR, 2024

2023

Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier.

Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Entropic Causal Inference: Graph Identifiability.

Spencer Compton, Kristjan H. Greenewald, Dmitriy A. Katz, Murat Kocaoglu

Proceedings of the International Conference on Machine Learning, 2022

2021

Automated Meta-Analysis: A Causal Learning Perspective.

Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini

CoRR, 2021

High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation.

Kristjan H. Greenewald, Karthikeyan Shanmugam, Dmitriy A. Katz-Rogozhnikov

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Biomedical Corpus Filtering: A Weak Supervision Paradigm With Infused Domain Expertise.

Sejal Dua, Ioana Baldini, Dmitriy A. Katz-Rogozhnikov, Emily van der Veen, Allison Britt, Pradeep Mangalath, Laura B. Kleiman, Catherine Del Vecchio Fitz

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

Exploring the Efficacy of Generic Drugs in Treating Cancer.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation.

Kristjan H. Greenewald, Dmitriy A. Katz-Rogozhnikov, Karthik Shanmugam

CoRR, 2020

Active Structure Learning of Causal DAGs via Directed Clique Tree.

Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam

CoRR, 2020

Active Structure Learning of Causal DAGs via Directed Clique Trees.

Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Entropic Causal Inference: Identifiability and Finite Sample Results.

Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies.

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

CoRR, 2019

Flexible Resource Allocation to Interval Jobs.

Dmitriy Katz, Baruch Schieber, Hadas Shachnai

Algorithmica, 2019

Sample Efficient Active Learning of Causal Trees.

Kristjan H. Greenewald, Dmitriy Katz, Karthikeyan Shanmugam, Sara Magliacane, Murat Kocaoglu, Enric Boix Adserà, Guy Bresler

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Size of Interventional Markov Equivalence Classes in random DAG models.

Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

A configurable, big data system for on-demand healthcare cost prediction.

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

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times.

David A. Goldberg, Dmitriy A. Katz-Rogozhnikov, Yingdong Lu, Mayank Sharma, Mark S. Squillante

Math. Oper. Res., 2016

Flexible Resource Allocation for Clouds and All-Optical Networks.

Dmitriy Katz, Baruch Schieber, Hadas Shachnai

CoRR, 2016

Brief Announcement: Flexible Resource Allocation for Clouds and All-Optical Networks.

Dmitriy Katz, Baruch Schieber, Hadas Shachnai

Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures, 2016

2015

Strong spatial mixing of list coloring of graphs.

David Gamarnik, Dmitriy Katz, Sidhant Misra

Random Struct. Algorithms, 2015

The stability of the deterministic Skorokhod problem is undecidable.

David Gamarnik, Dmitriy Katz

Queueing Syst. Theory Appl., 2015

Toward Comprehensive Attribution of Healthcare Cost Changes.

Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Multiplicative regression via constrained least squares.

Dennis Wei, Karthikeyan Natesan Ramamurthy, Dmitriy A. Katz-Rogozhnikov, Aleksandra Mojsilovic

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

2013

A New Local Search Algorithm for Binary Optimization.

Dimitris Bertsimas, Dan Andrei Iancu, Dmitriy Katz

INFORMS J. Comput., 2013

2012

Improved Bounds for Speed Scaling in Devices Obeying the Cube-Root Rule.

Nikhil Bansal, Ho-Leung Chan, Dmitriy Katz, Kirk Pruhs

Theory Comput., 2012

Correlation decay and deterministic FPTAS for counting colorings of a graph.

David Gamarnik, Dmitriy Katz

J. Discrete Algorithms, 2012

Optimal sampling strategies for minimum latency routing with imperfect link state.

Saikat Guha, Don Towsley, Prithwish Basu, Howard Tripp, Timothy Freeman, Dmitriy A. Katz-Rogozhnikov, Robert E. Hancock, Jim Kurose

Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012

2011

MCMC inference of the shape and variability of time-response signals.

Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

A deterministic approximation algorithm for computing the permanent of a 0, 1 matrix.

David Gamarnik, Dmitriy Katz

J. Comput. Syst. Sci., 2010

Stability of Skorokhod problem is undecidable

David Gamarnik, Dmitriy Katz

CoRR, 2010

2009

Sequential cavity method for computing limits of the log-partition function for lattice models.

David Gamarnik, Dmitriy Katz

Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2009

2008

Optimally Adaptive Integration of Univariate Lipschitz Functions.

Ilya Baran, Erik D. Demaine, Dmitriy A. Katz

Algorithmica, 2008

2007

Correlation decay and deterministic FPTAS for counting list-colorings of a graph.

David Gamarnik, Dmitriy Katz

Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2007