Anshuka Rangi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Mumford Shah Functional

Information Theory

Top Venues

Publications

Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh
Attacking Multi-Player Bandits and How to Robustify Them. AAMAS (2024)
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)
Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR (2023)
Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi
Towards Sequential Counterfactual Learning to Rank. SIGIR-AP (2023)
Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi
Selective Uncertainty Propagation in Offline RL. CoRR (2023)
Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh
Multi-Player Bandits Robust to Adversarial Collisions. CoRR (2022)
Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. CoRR (2022)
Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. IJCAI (2022)
Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. AAAI (2022)
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
Sequential Choice Bandits with Feedback for Personalizing users' experience. CoRR (2021)
Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti
Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. CoRR (2021)
Anshuka Rangi, Massimo Franceschetti
Channel Coding Theorems in Non-stochastic Information Theory. ISIT (2021)
Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti
Learning based attacks in Cyber Physical Systems: Exploration, Detection, and Control Cost trade-offs. L4DC (2021)
Anshuka Rangi, Massimo Franceschetti, Stefano Maranò
Distributed Chernoff Test: Optimal Decision Systems Over Networks. IEEE Trans. Inf. Theory 67 (4) (2021)
Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs. CoRR (2020)
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
Unifying the Stochastic and the Adversarial Bandits with Knapsack. IJCAI (2019)
Anshuka Rangi, Massimo Franceschetti
Online learning with feedback graphs and switching costs. AISTATS (2019)
Anshuka Rangi, Massimo Franceschetti
Towards a Non-Stochastic Information Theory. ISIT (2019)
Anshuka Rangi, Massimo Franceschetti
Towards a Non-Stochastic Information Theory. CoRR (2019)
Anshuka Rangi, Massimo Franceschetti, Stefano Maranò
Consensus-Based Chernoff Test in Sensor Networks. CDC (2018)
Anshuka Rangi, Massimo Franceschetti, Stefano Maranò
Decentralized Chernoff Test in Sensor Networks. ISIT (2018)
Anshuka Rangi, Massimo Franceschetti, Stefano Maranò
Distributed Chernoff Test: Optimal decision systems over networks. CoRR (2018)
Anshuka Rangi, Massimo Franceschetti
Online learning with feedback graphs and switching costs. CoRR (2018)
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
Unifying the stochastic and the adversarial Bandits with Knapsack. CoRR (2018)
Anshuka Rangi, Massimo Franceschetti
Multi-Armed Bandit Algorithms for Crowdsourcing Systems with Online Estimation of Workers' Ability. AAMAS (2018)