Correlation decay and deterministic FPTAS for counting list-colorings of a graph. - David Gamarnik; Dmitriy Katz (SODA, 2007)

Optimally Adaptive Integration of Univariate Lipschitz Functions. - Ilya Baran; Erik D. Demaine; Dmitriy A. Katz (Algorithmica, 2008)

Sequential cavity method for computing limits of the log-partition function for lattice models. - David Gamarnik; Dmitriy Katz (SODA, 2009)

Stability of Skorokhod problem is undecidable - David Gamarnik; Dmitriy Katz (CoRR, 2010)

A deterministic approximation algorithm for computing the permanent of a 0, 1 matrix. - David Gamarnik; Dmitriy Katz (J. Comput. Syst. Sci., 2010)

MCMC inference of the shape and variability of time-response signals. - Dmitriy A. Katz-Rogozhnikov; Kush R. Varshney; Aleksandra Mojsilovic; Moninder Singh (ICASSP, 2011)

Optimal sampling strategies for minimum latency routing with imperfect link state. - Saikat Guha 001; Don Towsley; Prithwish Basu; Howard Tripp; Timothy Freeman 002; Dmitriy A. Katz-Rogozhnikov; Robert E. Hancock; Jim Kurose (WiOpt, 2012)

Correlation decay and deterministic FPTAS for counting colorings of a graph. - David Gamarnik; Dmitriy Katz (J. Discrete Algorithms, 2012)

Improved Bounds for Speed Scaling in Devices Obeying the Cube-Root Rule. - Nikhil Bansal 001; Ho-Leung Chan; Dmitriy Katz; Kirk Pruhs (Theory Comput., 2012)

A New Local Search Algorithm for Binary Optimization. - Dimitris Bertsimas; Dan Andrei Iancu; Dmitriy Katz (INFORMS J. Comput., 2013)

Multiplicative regression via constrained least squares. - Dennis Wei; Karthikeyan Natesan Ramamurthy; Dmitriy A. Katz-Rogozhnikov; Aleksandra Mojsilovic (SSP, 2014)

Toward Comprehensive Attribution of Healthcare Cost Changes. - Dmitriy A. Katz-Rogozhnikov; Dennis Wei; Gigi Y. Yuen-Reed; Karthikeyan Natesan Ramamurthy; Aleksandra Mojsilovic (ICDM Workshops, 2015)

The stability of the deterministic Skorokhod problem is undecidable. - David Gamarnik; Dmitriy Katz (Queueing Syst. Theory Appl., 2015)

Strong spatial mixing of list coloring of graphs. - David Gamarnik; Dmitriy Katz; Sidhant Misra (Random Struct. Algorithms, 2015)

Brief Announcement: Flexible Resource Allocation for Clouds and All-Optical Networks. - Dmitriy Katz; Baruch Schieber; Hadas Shachnai (SPAA, 2016)

Flexible Resource Allocation for Clouds and All-Optical Networks. - Dmitriy Katz; Baruch Schieber; Hadas Shachnai (CoRR, 2016)

Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times. - David A. Goldberg 001; Dmitriy A. Katz-Rogozhnikov; Yingdong Lu; Mayank Sharma; Mark S. Squillante (Math. Oper. Res., 2016)

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 (IEEE BigData, 2017)

Size of Interventional Markov Equivalence Classes in random DAG models. - Dmitriy Katz; Karthikeyan Shanmugam; Chandler Squires; Caroline Uhler (AISTATS, 2019)

Sample Efficient Active Learning of Causal Trees. - Kristjan H. Greenewald; Dmitriy Katz; Karthikeyan Shanmugam; Sara Magliacane; Murat Kocaoglu; Enric Boix Adserà; Guy Bresler (NeurIPS, 2019)

Flexible Resource Allocation to Interval Jobs. - Dmitriy Katz; Baruch Schieber; Hadas Shachnai (Algorithmica, 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)

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 (AAAI, 2020)

Entropic Causal Inference: Identifiability and Finite Sample Results. - Spencer Compton; Murat Kocaoglu; Kristjan H. Greenewald; Dmitriy Katz (NeurIPS, 2020)

Active Structure Learning of Causal DAGs via Directed Clique Trees. - Chandler Squires; Sara Magliacane; Kristjan H. Greenewald; Dmitriy Katz; Murat Kocaoglu; Karthikeyan Shanmugam (NeurIPS, 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)

High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. - Kristjan H. Greenewald; Dmitriy A. Katz-Rogozhnikov; Karthik Shanmugam (CoRR, 2020)

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; et al. (AAAI, 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 (SDU@AAAI, 2021)

High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. - Kristjan H. Greenewald; Karthikeyan Shanmugam; Dmitriy A. Katz-Rogozhnikov (AISTATS, 2021)

Automated Meta-Analysis: A Causal Learning Perspective. - Lu Cheng 001; Dmitriy A. Katz-Rogozhnikov; Kush R. Varshney; Ioana Baldini (CoRR, 2021)

Entropic Causal Inference: Graph Identifiability. - Spencer Compton; Kristjan H. Greenewald; Dmitriy A. Katz; Murat Kocaoglu (ICML, 2022)

Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. - Spencer Compton; Dmitriy Katz; Benjamin Qi; Kristjan H. Greenewald; Murat Kocaoglu (AISTATS, 2023)

Causal Bandits with General Causal Models and Interventions. - Zirui Yan; Dennis Wei; Dmitriy A. Katz; Prasanna Sattigeri; Ali Tajer (AISTATS, 2024)

Interventional Causal Discovery in a Mixture of DAGs. - Burak Varici; Dmitriy Katz; Dennis Wei; Prasanna Sattigeri; Ali Tajer (NeurIPS, 2024)

CharED: Character-wise Ensemble Decoding for Large Language Models. - Kevin Gu; Eva Tuecke; Dmitriy Katz; Raya Horesh; David Alvarez-Melis; Mikhail Yurochkin (CoRR, 2024)

Separability Analysis for Causal Discovery in Mixture of DAGs. - Burak Varici; Dmitriy Katz; Dennis Wei; Prasanna Sattigeri; Ali Tajer (Trans. Mach. Learn. Res., 2024)