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Anshuka Rangi
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Year
Multi-Armed Bandit Algorithms for Crowdsourcing Systems with Online Estimation of Workers' Ability.
A Rangi, M Franceschetti
AAMAS, 1345-1352, 2018
452018
Unifying the Stochastic and the Adversarial Bandits with Knapsack
MFLTT Anshuka Rangi
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
30*2019
Online learning with feedback graphs and switching costs
A Rangi, M Franceschetti
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
242019
Understanding the limits of poisoning attacks in episodic reinforcement learning
A Rangi, H Xu, L Tran-Thanh, M Franceschetti
arXiv preprint arXiv:2208.13663, 2022
232022
Saving stochastic bandits from poisoning attacks via limited data verification
A Rangi, L Tran-Thanh, H Xu, M Franceschetti
Proceedings of the aaai conference on artificial intelligence 36 (7), 8054-8061, 2022
162022
Towards a non-stochastic information theory
A Rangi, M Franceschetti
2019 IEEE International Symposium on Information Theory (ISIT), 997-1001, 2019
132019
Distributed chernoff test: Optimal decision systems over networks
A Rangi, M Franceschetti, S Marano
arXiv preprint arXiv:1809.04587, 2018
132018
Decentralized Chernoff test in sensor networks
A Rangi, M Franceschetti, S Marano
2018 IEEE International Symposium on Information Theory (ISIT), 501-505, 2018
122018
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs
A Rangi, M Javad Khojasteh, M Franceschetti
arXiv preprint arXiv:2011.10718, 2020
112020
Consensus-based chernoff test in sensor networks
A Rangi, M Franceschetti, S Marano
2018 IEEE Conference on Decision and Control (CDC), 6773-6778, 2018
72018
Secure-ucb: Saving stochastic bandits from poisoning attacks via limited data verification
A Rangi, L Tran-Thanh, H Xu, M Franceschetti
arXiv preprint arXiv:2102.07711, 2021
62021
Multi-player bandits robust to adversarial collisions
S Mahesh, A Rangi, H Xu, L Tran-Thanh
arXiv preprint arXiv:2211.07817, 2022
32022
Non-stochastic information theory
A Rangi, M Franceschetti
arXiv preprint arXiv:1904.11632, 2019
32019
Towards sequential counterfactual learning to rank
T Xiao, B Kveton, S Katariya, T Gangwani, A Rangi
Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023
22023
Channel coding theorems in non-stochastic information theory
A Rangi, M Franceschetti
2021 IEEE International Symposium on Information Theory (ISIT), 1790-1795, 2021
22021
Online Learning and Decision Making with Partial Information, a feedback perspective
A Rangi
University of California, San Diego, 2021
22021
Apparatus and method for automatically converting note to action reminders
L Shastri, R Nookala, A Gupta, A Kailash, R Tandon, KR Sharma, ...
US Patent 10,467,598, 2019
22019
Selective Uncertainty Propagation in Offline RL
SK Krishnamurthy, S Modi, T Gangwani, S Katariya, B Kveton, A Rangi
arXiv preprint arXiv:2302.00284, 2023
12023
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
Y Ren, T Xiao, T Gangwani, A Rangi, H Rahmanian, L Ying, S Sanyal
International Conference on Artificial Intelligence and Statistics, 3862-3870, 2024
2024
Attacking multi-player bandits and how to robustify them
S Mahesh, A Rangi, H Xu, L Tran-Thanh
Proceedings of 23rd Conference on Autonomous Agents and Multiagent Systems …, 2024
2024
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