Rajat Sen
Rajat Sen
Google
Verified email at utexas.edu - Homepage
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, I Dhillon
arXiv preprint arXiv:1905.03806, 2019
602019
Model-powered conditional independence test
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai
arXiv preprint arXiv:1709.06138, 2017
382017
Regret of queueing bandits
S Krishnasamy, R Sen, R Johari, S Shakkottai
Advances in Neural Information Processing Systems, 1669-1677, 2016
322016
Multi-fidelity black-box optimization with hierarchical partitions
R Sen, K Kandasamy, S Shakkottai
International conference on machine learning, 4538-4547, 2018
312018
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
302017
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
28*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
192015
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
122019
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
11*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
112018
Detecting sponsored recommendations
S Krishnasamy, R Sen, S Shakkottai, S Oh
ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2016
92016
Blocking Bandits
S Basu, R Sen, S Sanghavi, S Shakkottai
NeuRIPS 2019, https://arxiv.org/abs/1907.11975, 0
8*
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
72021
Contextual bandits with stochastic experts
R Sen, K Shanmugam, S Shakkottai
International Conference on Artificial Intelligence and Statistics, 852-861, 2018
62018
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
42019
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
42013
Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering
I Tariq, R Sen, T Novlan, S Akoum, M Majmundar, G de Veciana, ...
IEEE/ACM Transactions on Networking, 2021
2021
Top- eXtreme Contextual Bandits with Arm Hierarchy
R Sen, A Rakhlin, L Ying, R Kidambi, D Foster, D Hill, I Dhillon
arXiv preprint arXiv:2102.07800, 2021
2021
Session-Aware Query Auto-completion using Extreme Multi-label Ranking
N Yadav, R Sen, DN Hill, A Mazumdar, IS Dhillon
arXiv preprint arXiv:2012.07654, 2020
2020
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
M Faw, R Sen, K Shanmugam, C Caramanis, S Shakkottai
arXiv preprint arXiv:1907.10154, 2019
2019
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