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Rajat Sen
Rajat Sen
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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
3902019
Model-powered conditional independence test
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai
Advances in neural information processing systems 30, 2017
972017
Long-term forecasting with tide: Time-series dense encoder
A Das, W Kong, A Leach, S Mathur, R Sen, R Yu
arXiv preprint arXiv:2304.08424, 2023
932023
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
772017
Regret of queueing bandits
S Krishnasamy, R Sen, R Johari, S Shakkottai
Advances in Neural Information Processing Systems, 1669-1677, 2016
672016
Multi-fidelity black-box optimization with hierarchical partitions
R Sen, K Kandasamy, S Shakkottai
International conference on machine learning, 4538-4547, 2018
592018
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
532021
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
512017
Blocking bandits
S Basu, R Sen, S Sanghavi, S Shakkottai
arXiv preprint arXiv:1907.11975, 2019
472019
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
352015
A decoder-only foundation model for time-series forecasting
A Das, W Kong, R Sen, Y Zhou
arXiv preprint arXiv:2310.10688, 2023
312023
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
292021
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
23*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
222020
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
172018
Hierarchically regularized deep forecasting
B Paria, R Sen, A Ahmed, A Das
arXiv preprint arXiv:2106.07630, 2021
162021
Contextual bandits with stochastic experts
R Sen, K Shanmugam, S Shakkottai
International Conference on Artificial Intelligence and Statistics, 852-861, 2018
142018
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
132022
Detecting sponsored recommendations
S Krishnasamy, R Sen, S Shakkottai, S Oh
ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2016
112016
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
P Awasthi, A Das, W Kong, R Sen
Advances in Neural Information Processing Systems 35, 862-873, 2022
10*2022
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