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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
402018
Unifying the Stochastic and the Adversarial Bandits with Knapsack
MFLTT Anshuka Rangi
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
27*2019
Unifying the stochastic and the adversarial bandits with knapsack
A Rangi, M Franceschetti, L Tran-Thanh
arXiv preprint arXiv:1811.12253, 2018
272018
Online learning with feedback graphs and switching costs
A Rangi, M Franceschetti
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019
202019
Online learning with feedback graphs and switching costs
A Rangi, M Franceschetti
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
202019
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
142022
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
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
102022
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
92020
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
52021
Non-stochastic information theory
A Rangi, M Franceschetti
arXiv preprint arXiv:1904.11632, 2019
32019
Channel Coding Theorems in Non-stochastic Information Theory
A Rangi, M Franceschetti
2021 IEEE International Symposium on Information Theory (ISIT), 1790-1795, 2021
22021
Multi-Player Bandits Robust to Adversarial Collisions
S Mahesh, A Rangi, H Xu, L Tran-Thanh
arXiv preprint arXiv:2211.07817, 2022
12022
Online Learning and Decision Making with Partial Information, a feedback perspective
A Rangi
University of California, San Diego, 2021
12021
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
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
2023
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
Y Ren, T Xiao, T Gangwani, A Rangi, H Rahmanian, L Ying, S Sanyal
arXiv preprint arXiv:2311.13159, 2023
2023
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