オープン アクセスを義務付けられた論文 - Rajat Sen詳細
一般公開: 16 件
Model-powered conditional independence test
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai
Advances in neural information processing systems 30, 2017
委任: US National Science Foundation, US Department of Defense
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
委任: US National Science Foundation, US Department of Defense
Regret of queueing bandits
S Krishnasamy, R Sen, R Johari, S Shakkottai
Advances in Neural Information Processing Systems, 1669-1677, 2016
委任: US National Science Foundation
Multi-fidelity black-box optimization with hierarchical partitions
R Sen, K Kandasamy, S Shakkottai
International conference on machine learning, 4538-4547, 2018
委任: US National Science Foundation, US Department of Defense
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
委任: US National Science Foundation, US Department of Defense
Blocking bandits
S Basu, R Sen, S Sanghavi, S Shakkottai
arXiv preprint arXiv:1907.11975, 2019
委任: US National Science Foundation, US Department of Defense
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
委任: Council of Scientific and Industrial Research, India, Department of Science …
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
委任: US National Science Foundation, US Department of Defense, US Department of …
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
委任: US Department of Defense
Contextual bandits with stochastic experts
R Sen, K Shanmugam, S Shakkottai
International Conference on Artificial Intelligence and Statistics, 852-861, 2018
委任: US National Science Foundation, US Department of Defense, US Department of …
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
委任: US National Science Foundation
Detecting Sponsored Recommendations
S Krishnasamy, R Sen, S Shakkottai, S Oh
ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2016
委任: US National Science Foundation, US Department of Transportation
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
委任: US National Science Foundation
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 29 (5), 1933-1947, 2021
委任: US National Science Foundation, US Department of Defense
Mix and match: an optimistic tree-search approach for learning models from mixture distributions
M Faw, R Sen, K Shanmugam, C Caramanis, S Shakkottai
Advances in Neural Information Processing Systems 33, 11010-11021, 2020
委任: US National Science Foundation, US Department of Defense
Bandit learning-based online user clustering and selection for cellular networks. In pages 1–10, September 2022.
I Tariq, R Sen, T Novlan, S Akoum, M Majmundar, G de Veciana, ...
IEEE WIOPT, 2022
委任: US National Science Foundation
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