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ORCIDDmitriy A. Katz-Rogozhnikov
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- affiliation: IBM Research
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Journal Articles
- 2019
[j9]Dmitriy Katz, Baruch Schieber, Hadas Shachnai:
Flexible Resource Allocation to Interval Jobs. Algorithmica 81(8): 3217-3244 (2019)- 2016
- [j8]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): 898-913 (2016) - 2015
- [j7]David Gamarnik, Dmitriy Katz:
The stability of the deterministic Skorokhod problem is undecidable. Queueing Syst. Theory Appl. 79(3-4): 221-249 (2015) - [j6]David Gamarnik, Dmitriy Katz, Sidhant Misra:
Strong spatial mixing of list coloring of graphs. Random Struct. Algorithms 46(4): 599-613 (2015) - 2013
- [j5]Dimitris Bertsimas, Dan Andrei Iancu, Dmitriy Katz:
A New Local Search Algorithm for Binary Optimization. INFORMS J. Comput. 25(2): 208-221 (2013) - 2012
- [j4]David Gamarnik, Dmitriy Katz:
Correlation decay and deterministic FPTAS for counting colorings of a graph. J. Discrete Algorithms 12: 29-47 (2012) - [j3]Nikhil Bansal, Ho-Leung Chan, Dmitriy Katz, Kirk Pruhs:
Improved Bounds for Speed Scaling in Devices Obeying the Cube-Root Rule. Theory Comput. 8(1): 209-229 (2012) - 2010
- [j2]David Gamarnik, Dmitriy Katz:
A deterministic approximation algorithm for computing the permanent of a 0, 1 matrix. J. Comput. Syst. Sci. 76(8): 879-883 (2010) - 2008
- [j1]Ilya Baran, Erik D. Demaine, Dmitriy A. Katz:
Optimally Adaptive Integration of Univariate Lipschitz Functions. Algorithmica 50(2): 255-278 (2008)
Conference and Workshop Papers
- 2023
- [c20]Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu:
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. AISTATS 2023: 10445-10469 - 2022
- [c19]Spencer Compton, Kristjan H. Greenewald, Dmitriy A. Katz, Murat Kocaoglu:
Entropic Causal Inference: Graph Identifiability. ICML 2022: 4311-4343 - 2021
- [c18]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: 15988-15990 - [c17]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 - [c16]Kristjan H. Greenewald, Karthikeyan Shanmugam, Dmitriy A. Katz-Rogozhnikov:
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. AISTATS 2021: 2224-2232 - 2020
- [c15]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: 13369-13381 - [c14]Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz:
Entropic Causal Inference: Identifiability and Finite Sample Results. NeurIPS 2020 - [c13]Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam:
Active Structure Learning of Causal DAGs via Directed Clique Trees. NeurIPS 2020 - 2019
- [c12]Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler:
Size of Interventional Markov Equivalence Classes in random DAG models. AISTATS 2019: 3234-3243 - [c11]Kristjan H. Greenewald, Dmitriy Katz, Karthikeyan Shanmugam, Sara Magliacane, Murat Kocaoglu, Enric Boix Adserà, Guy Bresler:
Sample Efficient Active Learning of Causal Trees. NeurIPS 2019: 14279-14289 - 2017
- [c10]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: 1524-1533 - 2016
- [c9]Dmitriy Katz, Baruch Schieber, Hadas Shachnai:
Brief Announcement: Flexible Resource Allocation for Clouds and All-Optical Networks. SPAA 2016: 225-226 - 2015
- [c8]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: 146-155 - 2014
- [c7]Dennis Wei, Karthikeyan Natesan Ramamurthy, Dmitriy A. Katz-Rogozhnikov, Aleksandra Mojsilovic:
Multiplicative regression via constrained least squares. SSP 2014: 304-307 - 2012
- [c6]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: 81-88 - 2011
- [c5]Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Aleksandra Mojsilovic, Moninder Singh:
MCMC inference of the shape and variability of time-response signals. ICASSP 2011: 3956-3959 - 2009
- [c4]Nikhil Bansal, Ho-Leung Chan, Kirk Pruhs, Dmitriy Katz:
Improved Bounds for Speed Scaling in Devices Obeying the Cube-Root Rule. ICALP (1) 2009: 144-155 - [c3]David Gamarnik, Dmitriy Katz:
Sequential cavity method for computing limits of the log-partition function for lattice models. SODA 2009: 596-605 - 2007
- [c2]David Gamarnik, Dmitriy Katz:
Correlation decay and deterministic FPTAS for counting list-colorings of a graph. SODA 2007: 1245-1254 - 2006
- [c1]Ilya Baran, Erik D. Demaine, Dmitriy A. Katz:
Optimally Adaptive Integration of Univariate Lipschitz Functions. LATIN 2006: 142-153
Informal and Other Publications
- 2024
- [i11]Zirui Yan, Dennis Wei, Dmitriy A. Katz-Rogozhnikov, Prasanna Sattigeri, Ali Tajer:
Causal Bandits with General Causal Models and Interventions. CoRR abs/2403.00233 (2024) - 2023
- [i10]Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu:
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. CoRR abs/2302.11838 (2023) - 2021
- [i9]Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz:
Entropic Causal Inference: Identifiability and Finite Sample Results. CoRR abs/2101.03501 (2021) - [i8]Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini:
Automated Meta-Analysis: A Causal Learning Perspective. CoRR abs/2104.04633 (2021) - 2020
- [i7]Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam:
Active Structure Learning of Causal DAGs via Directed Clique Tree. CoRR abs/2011.00641 (2020) - [i6]Kristjan H. Greenewald, Dmitriy A. Katz-Rogozhnikov, Karthik Shanmugam:
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. CoRR abs/2011.01979 (2020) - 2019
- [i5]Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler:
Size of Interventional Markov Equivalence Classes in Random DAG Models. CoRR abs/1903.02054 (2019) - [i4]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 abs/1911.07819 (2019) - 2016
- [i3]Dmitriy Katz, Baruch Schieber, Hadas Shachnai:
Flexible Resource Allocation for Clouds and All-Optical Networks. CoRR abs/1605.04982 (2016) - 2012
- [i2]David Gamarnik, Dmitriy Katz, Sidhant Misra:
Strong spatial mixing for list coloring of graphs. CoRR abs/1207.1223 (2012) - 2010
- [i1]David Gamarnik, Dmitriy Katz:
Stability of Skorokhod problem is undecidable. CoRR abs/1007.1694 (2010)
Coauthor Index
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