Rajat Sen

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Karthikeyan ShanmugamResearch Scientist, Google Research IndiaVerified email at google.com
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
Hsiang-Fu YuPrincipal Applied Scientist at AmazonVerified email at cs.utexas.edu
Ramesh JohariProfessor, Management Science and Engineering, Stanford UniversityVerified email at stanford.edu
Ananda Theertha SureshSenior Research Scientist, Google New YorkVerified email at google.com
Kirthevasan KandasamyUniversity of California, BerkeleyVerified email at cs.cmu.edu
Murat KocaogluAssistant Professor, ECE, Purdue UniversityVerified email at purdue.edu
Biswajit PariaGoogleVerified email at google.com
Weihao KongGoogleVerified email at google.com
Arya MazumdarUniversity of California, San DiegoVerified email at ucsd.edu
Daniel N. HillAmazon.com, Inc.Verified email at amazon.com
Gustavo de VecianaProfessor of Electrical and Computer Engineering, U.T. AustinVerified email at ece.utexas.edu
pranjal awasthiRutgers UniversityVerified email at rutgers.edu
Ranjan SenChief Scientist, CSIR-CMERI, Durgapur, IndiaVerified email at cmeri.res.in
Soumya BasuGoogleVerified email at google.com
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinVerified email at mail.utexas.edu
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Abhimanyu DasResearcher, GoogleVerified email at google.com
Ethan R. ElenbergGraduate Student, University of Texas at AustinVerified email at utexas.edu

Rajat Sen

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Verified email at utexas.edu - Homepage

Bandit Problems Time-Series eXtreme Multi-Label


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Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting R Sen, HF Yu, IS Dhillon Advances in neural information processing systems 32, 2019	245	2019
Model-powered conditional independence test R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai Advances in neural information processing systems 30, 2017	72	2017
Identifying best interventions through online importance sampling R Sen, K Shanmugam, AG Dimakis, S Shakkottai Proceedings of the 34th International Conference on Machine Learning, PMLR …, 2017	61	2017
Regret of queueing bandits S Krishnasamy, R Sen, R Johari, S Shakkottai Advances in Neural Information Processing Systems, 1669-1677, 2016	52	2016
Multi-fidelity black-box optimization with hierarchical partitions R Sen, K Kandasamy, S Shakkottai International conference on machine learning, 4538-4547, 2018	48	2018
Contextual Bandits with Latent Confounders: An NMF Approach R Sen, K Shanmugam, M Kocaoglu, A Dimakis, S Shakkottai 20th International Conference on Artificial Intelligence and Statistics 54, 2017	38*	2017
Comparison between three tuning methods of PID control for high precision positioning stage R Sen, C Pati, S Dutta, R Sen Mapan 30 (1), 65-70, 2015	30	2015
Learning unknown service rates in queues: A multiarmed bandit approach S Krishnasamy, R Sen, R Johari, S Shakkottai Operations research 69 (1), 315-330, 2021	29	2021
Blocking bandits S Basu, R Sen, S Sanghavi, S Shakkottai arXiv preprint arXiv:1907.11975, 2019	29	2019
Importance weighted generative networks M Diesendruck, ER Elenberg, R Sen, GW Cole, S Shakkottai, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020	20	2020
Noisy blackbox optimization using multi-fidelity queries: A tree search approach R Sen, K Kandasamy, S Shakkottai The 22nd international conference on artificial intelligence and statistics …, 2019	18*	2019
Mimic and classify: A meta-algorithm for conditional independence testing R Sen, K Shanmugam, H Asnani, A Rahimzamani, S Kannan arXiv preprint arXiv:1806.09708, 2018	17	2018
Top-k extreme contextual bandits with arm hierarchy R Sen, A Rakhlin, L Ying, R Kidambi, D Foster, DN Hill, IS Dhillon International Conference on Machine Learning, 9422-9433, 2021	15	2021
Contextual bandits with stochastic experts R Sen, K Shanmugam, S Shakkottai International Conference on Artificial Intelligence and Statistics, 852-861, 2018	12	2018
Detecting sponsored recommendations S Krishnasamy, R Sen, S Shakkottai, S Oh ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2016	11	2016
Hierarchically regularized deep forecasting B Paria, R Sen, A Ahmed, A Das arXiv preprint arXiv:2106.07630, 2021	10	2021
On learning mixture of linear regressions in the non-realizable setting S Pal, A Mazumdar, R Sen, A Ghosh International Conference on Machine Learning, 17202-17220, 2022	7	2022
Online channel-state clustering and multiuser capacity learning for wireless scheduling I Tariq, R Sen, G de Veciana, S Shakkottai IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 136-144, 2019	7	2019
Session-aware query auto-completion using extreme multi-label ranking N Yadav, R Sen, DN Hill, A Mazumdar, IS Dhillon Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	5	2021
Si-dfa: Sub-expression integrated deterministic finite automata for deep packet inspection A Khalid, R Sen, A Chattopadhyay 2013 IEEE 14th International Conference on High Performance Switching and …, 2013	5	2013

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