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Rajat Sen
Rajat Sen
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Title
Cited by
Cited by
Year
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
1612019
Model-powered conditional independence test
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai
Advances in neural information processing systems 30, 2017
512017
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
502017
Regret of queueing bandits
S Krishnasamy, R Sen, R Johari, S Shakkottai
Advances in Neural Information Processing Systems, 1669-1677, 2016
452016
Multi-fidelity black-box optimization with hierarchical partitions
R Sen, K Kandasamy, S Shakkottai
International conference on machine learning, 4538-4547, 2018
392018
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
35*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
292015
Blocking bandits
S Basu, R Sen, S Sanghavi, S Shakkottai
arXiv preprint arXiv:1907.11975, 2019
212019
Importance weighted generative networks
M Diesendruck, ER Elenberg, R Sen, GW Cole, S Shakkottai, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
172019
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
15*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
152018
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
142021
Detecting sponsored recommendations
S Krishnasamy, R Sen, S Shakkottai, S Oh
ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2016
112016
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
102021
Contextual bandits with stochastic experts
R Sen, K Shanmugam, S Shakkottai
International Conference on Artificial Intelligence and Statistics, 852-861, 2018
102018
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
52019
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
52013
Hierarchically regularized deep forecasting
B Paria, R Sen, A Ahmed, A Das
arXiv preprint arXiv:2106.07630, 2021
42021
Cluster-and-Conquer: A Framework For Time-Series Forecasting
R Pathak, R Sen, N Rao, NB Erichson, MI Jordan, IS Dhillon
arXiv preprint arXiv:2110.14011, 2021
32021
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
32021
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