default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKarthikeyan Shanmugam
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Karthikeyan Shanmugam 0001
![[0009-0008-2879-5868]](https://dblp.org/img/orcid-mark.12x12.png "0009-0008-2879-5868")
— Google DeepMind, Bengaluru, India - Karthikeyan Shanmugam 0002 — Nokia Bell Labs, Murray Hill, NJ, USA (and 1 more)
- Karthikeyan Shanmugam 0003 — School of Management, SASTRA Deemed to be University, Thanjavur, India
- Karthikeyan Shanmugam 0004 — Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j3]Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan, Karthikeyan Shanmugam, Ali Tajer:
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing. Trans. Mach. Learn. Res. 2025 (2025)- [c8]Meltem Tatli, Arpan Mukherjee, Prashanth L. A., Karthikeyan Shanmugam, Ali Tajer:
Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms. AISTATS 2025: 3871-3879 - [c7]Arpan Dasgupta, Gagan Jain, Arun Sai Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja:
Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health. AAMAS 2025: 547-555 - [i29]Meltem Tatli, Arpan Mukherjee, Prashanth L. A., Karthikeyan Shanmugam, Ali Tajer:
Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms. CoRR abs/2503.08896 (2025) - [i28]Praharsh Nanavati, Ranjitha Prasad, Karthikeyan Shanmugam:
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects. CoRR abs/2504.20579 (2025) - [i27]Meltem Tatli, Arpan Mukherjee, Prashanth L. A., Karthikeyan Shanmugam, Ali Tajer:
Preference-centric Bandits: Optimality of Mixtures and Regret-efficient Algorithms. CoRR abs/2504.20877 (2025) - [i26]Kevin Zhang, Yonghan Jung, Divyat Mahajan, Karthikeyan Shanmugam, Shalmali Joshi:
Path-specific effects for pulse-oximetry guided decisions in critical care. CoRR abs/2506.12371 (2025) - [i25]Pragya Srivastava, Harman Singh, Rahul Madhavan, Gandharv Patil, Sravanti Addepalli, Arun Sai Suggala, Rengarajan Aravamudhan, Soumya Sharma, Anirban Laha, Aravindan Raghuveer, Karthikeyan Shanmugam, Doina Precup:
Robust Reward Modeling via Causal Rubrics. CoRR abs/2506.16507 (2025) - [i24]Arpan Dasgupta, Mizhaan Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hedge, Arun Sai Suggala, Karthikeyan Shanmugam, Aparna Taneja, Milind Tambe:
Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health. CoRR abs/2507.16356 (2025) - [i23]Sushant Vijayan, Arun Sai Suggala, Karthikeyan Shanmugam, Soumyabrata Pal:
Regret minimization in Linear Bandits with offline data via extended D-optimal exploration. CoRR abs/2508.08420 (2025) - [i22]Amy A. Lee, Narayan Hegde, Nina Deliu, Emily Rosenzweig, Arun Sai Suggala, Sriram Lakshminarasimhan, Qian He, John Hernandez, Martin Seneviratne, Rahul Singh, Pradnesh Kalkar, Karthikeyan Shanmugam, Aravindan Raghuveer, Abhimanyu Singh, My Nguyen, James Taylor, Jatin Alla, Sofia S. Villar, Hülya Emir-Farinas:
A Personalized Exercise Assistant using Reinforcement Learning (PEARL): Results from a four-arm Randomized-controlled Trial. CoRR abs/2508.10060 (2025) - [i21]Aditi Agarwal, Anjali Jain, Nikita Saxena, Ishan Deshpande, Michal Kazmierski, Abigail Annkah, Nadav Sherman, Karthikeyan Shanmugam, Alok Talekar, Vaibhav Rajan:
Segmentation-Aware Latent Diffusion for Satellite Image Super-Resolution: Enabling Smallholder Farm Boundary Delineation. CoRR abs/2511.14481 (2025) - 2024
- [j2]Samuel C. Hoffman, Payel Das, Karthikeyan Shanmugam, Kahini Wadhawan, Prasanna Sattigeri:
Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data. Trans. Mach. Learn. Res. 2024 (2024) - [c6]Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer:
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. AAAI 2024: 12331-12339 - [c5]Soumyabrata Pal, Milind Tambe, Arun Sai Suggala, Karthikeyan Shanmugam, Aparna Taneja:
Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection. AAMAS 2024: 1540-1548 - [c4]Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer:
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation. ICLR 2024 - [c3]Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy:
Learning model uncertainty as variance-minimizing instance weights. ICLR 2024 - [i20]Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan, Karthikeyan Shanmugam, Ali Tajer:
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing. CoRR abs/2410.10679 (2024) - [i19]Arpan Dasgupta, Gagan Jain, Arun Sai Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja:
Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program. CoRR abs/2410.21405 (2024) - 2023
- [c2]Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu:
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge. NeurIPS 2023 - [i18]Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer:
Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift. CoRR abs/2310.07535 (2023) - [i17]Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer:
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation. CoRR abs/2310.08056 (2023) - 2022
- [i16]Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das:
Fourier Representations for Black-Box Optimization over Categorical Variables. CoRR abs/2202.03712 (2022) - [i15]Samuel C. Hoffman, Kahini Wadhawan, Payel Das, Prasanna Sattigeri, Karthikeyan Shanmugam:
Causal Graphs Underlying Generative Models: Path to Learning with Limited Data. CoRR abs/2207.07174 (2022) - 2021
- [i14]Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja:
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. CoRR abs/2106.11560 (2021)
2010 – 2019
- 2018
- [i13]Yitao Chen, Karthikeyan Shanmugam, Alexandros G. Dimakis:
From Centralized to Decentralized Coded Caching. CoRR abs/1801.07734 (2018) - [i12]Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai:
Contextual Bandits with Stochastic Experts. CoRR abs/1802.08737 (2018) - [i11]Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani, Arman Rahimzamani, Sreeram Kannan:
Mimic and Classify : A meta-algorithm for Conditional Independence Testing. CoRR abs/1806.09708 (2018) - 2017
- [i10]Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai:
Causal Best Intervention Identification via Importance Sampling. CoRR abs/1701.02789 (2017) - [i9]Karthikeyan Shanmugam, Antonia M. Tulino, Alexandros G. Dimakis:
Coded Caching with Linear Subpacketization is Possible using Ruzsa-Szeméredi Graphs. CoRR abs/1701.07115 (2017) - [i8]Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sujay Sanghavi:
Sparse Quadratic Logistic Regression in Sub-quadratic Time. CoRR abs/1703.02682 (2017) - 2016
- [i7]Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai:
Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. CoRR abs/1606.00119 (2016) - 2015
- [i6]Karthikeyan Shanmugam, Megasthenis Asteris, Alexandros G. Dimakis:
On Approximating the Sum-Rate for Multiple-Unicasts. CoRR abs/1504.05294 (2015) - [i5]Karthikeyan Shanmugam, Mingyue Ji, Antonia M. Tulino, Jaime Llorca, Alexandros G. Dimakis:
Finite Length Analysis of Caching-Aided Coded Multicasting. CoRR abs/1508.05175 (2015) - [i4]Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath:
Learning Causal Graphs with Small Interventions. CoRR abs/1511.00041 (2015) - 2014
- [i3]Karthikeyan Shanmugam, Alexandros G. Dimakis:
Bounding Multiple Unicasts through Index Coding and Locally Repairable Codes. CoRR abs/1402.3895 (2014) - [i2]Karthikeyan Shanmugam, Alexandros G. Dimakis, Michael Langberg:
Graph Theory versus Minimum Rank for Index Coding. CoRR abs/1402.3898 (2014) - 2013
- [i1]Karthikeyan Shanmugam, Alexandros G. Dimakis, Michael Langberg:
Local Graph Coloring and Index Coding. CoRR abs/1301.5359 (2013) - 2011
- [j1]Karthikeyan Shanmugam, Roger S. Powell, Tom Owens:
An Approach for Validation of Digital Anti-Forensic Evidence. Inf. Secur. J. A Glob. Perspect. 20(4-5): 219-230 (2011)
2000 – 2009
- 2005
- [c1]Guruprasad Somasundaram, Karthik Krishnakumar, Karthikeyan Shanmugam, Vinodh Kumar Rajendran:
Real Time Vision-based Control of a Carrom Playing Robot. IICAI 2005: 281-293
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-02-12 00:10 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
