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Anshuka Rangi
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Books and Theses
- 2021
- [b1]Anshuka Rangi:
Online Learning and Decision Making with Partial Information, a feedback perspective. University of California, San Diego, USA, 2021
Journal Articles
- 2021
- [j1]Anshuka Rangi, Massimo Franceschetti, Stefano Maranò:
Distributed Chernoff Test: Optimal Decision Systems Over Networks. IEEE Trans. Inf. Theory 67(4): 2399-2425 (2021)
Conference and Workshop Papers
- 2024
- [c13]Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal:
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. AISTATS 2024: 3862-3870 - [c12]Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh:
Attacking Multi-Player Bandits and How to Robustify Them. AAMAS 2024: 1337-1345 - 2023
- [c11]Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi:
Towards Sequential Counterfactual Learning to Rank. SIGIR-AP 2023: 122-128 - 2022
- [c10]Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti:
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. AAAI 2022: 8054-8061 - [c9]Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti:
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. IJCAI 2022: 3394-3400 - 2021
- [c8]Anshuka Rangi, Massimo Franceschetti:
Channel Coding Theorems in Non-stochastic Information Theory. ISIT 2021: 1790-1795 - [c7]Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti:
Learning based attacks in Cyber Physical Systems: Exploration, Detection, and Control Cost trade-offs. L4DC 2021: 879-892 - 2019
- [c6]Anshuka Rangi, Massimo Franceschetti:
Online learning with feedback graphs and switching costs. AISTATS 2019: 2435-2444 - [c5]Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Unifying the Stochastic and the Adversarial Bandits with Knapsack. IJCAI 2019: 3311-3317 - [c4]Anshuka Rangi, Massimo Franceschetti:
Towards a Non-Stochastic Information Theory. ISIT 2019: 997-1001 - 2018
- [c3]Anshuka Rangi, Massimo Franceschetti:
Multi-Armed Bandit Algorithms for Crowdsourcing Systems with Online Estimation of Workers' Ability. AAMAS 2018: 1345-1352 - [c2]Anshuka Rangi, Massimo Franceschetti, Stefano Maranò:
Consensus-Based Chernoff Test in Sensor Networks. CDC 2018: 6773-6778 - [c1]Anshuka Rangi, Massimo Franceschetti, Stefano Maranò:
Decentralized Chernoff Test in Sensor Networks. ISIT 2018: 501-505
Informal and Other Publications
- 2023
- [i11]Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi:
Selective Uncertainty Propagation in Offline RL. CoRR abs/2302.00284 (2023) - [i10]Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal:
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR abs/2311.13159 (2023) - 2022
- [i9]Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti:
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. CoRR abs/2208.13663 (2022) - [i8]Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh:
Multi-Player Bandits Robust to Adversarial Collisions. CoRR abs/2211.07817 (2022) - 2021
- [i7]Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Sequential Choice Bandits with Feedback for Personalizing users' experience. CoRR abs/2101.01572 (2021) - [i6]Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti:
Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. CoRR abs/2102.07711 (2021) - 2020
- [i5]Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti:
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs. CoRR abs/2011.10718 (2020) - 2019
- [i4]Anshuka Rangi, Massimo Franceschetti:
Towards a Non-Stochastic Information Theory. CoRR abs/1904.11632 (2019) - 2018
- [i3]Anshuka Rangi, Massimo Franceschetti, Stefano Maranò:
Distributed Chernoff Test: Optimal decision systems over networks. CoRR abs/1809.04587 (2018) - [i2]Anshuka Rangi, Massimo Franceschetti:
Online learning with feedback graphs and switching costs. CoRR abs/1810.09666 (2018) - [i1]Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Unifying the stochastic and the adversarial Bandits with Knapsack. CoRR abs/1811.12253 (2018)
Coauthor Index
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