Anshuka Rangi - RankMe

29 papers A* 4A 4B 3Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Kolmogorov Capacity with Overlap. Entropy Anshuka Rangi, Massimo Franceschetti
2025	J	`jnl`	Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation. CoRR Neeraj Gangwar, Anshuka Rangi, Rishabh Deshmukh, Holakou Rahmanian, Yesh Dattatreya, Nickvash Kani
2025	A*	`conf`	Selective Uncertainty Propagation in Offline RL. AAAI Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi, Anshuka Rangi
2024	A	`conf`	Attacking Multi-Player Bandits and How to Robustify Them. AAMAS Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh
2024	A	`conf`	Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. AISTATS Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
2023	J	`jnl`	Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
2023	J	`jnl`	Selective Uncertainty Propagation in Offline RL. CoRR Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi
2023	—	`conf`	Towards Sequential Counterfactual Learning to Rank. SIGIR-AP Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi
2022	J	`jnl`	Multi-Player Bandits Robust to Adversarial Collisions. CoRR Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh
2022	A*	`conf`	Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. AAAI Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti
2022	A*	`conf`	Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. IJCAI Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
2022	J	`jnl`	Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. CoRR Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
2021	B	`conf`	Channel Coding Theorems in Non-stochastic Information Theory. ISIT Anshuka Rangi, Massimo Franceschetti
2021	J	`jnl`	Distributed Chernoff Test: Optimal Decision Systems Over Networks. IEEE Trans. Inf. Theory Anshuka Rangi, Massimo Franceschetti, Stefano Maranò
2021	—	`conf`	Learning based attacks in Cyber Physical Systems: Exploration, Detection, and Control Cost trade-offs. L4DC Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti
2021	—	`—`	Online Learning and Decision Making with Partial Information, a feedback perspective. Anshuka Rangi
2021	J	`jnl`	Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. CoRR Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti
2021	J	`jnl`	Sequential Choice Bandits with Feedback for Personalizing users' experience. CoRR Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
2020	J	`jnl`	Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs. CoRR Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti
2019	A	`conf`	Online learning with feedback graphs and switching costs. AISTATS Anshuka Rangi, Massimo Franceschetti
2019	B	`conf`	Towards a Non-Stochastic Information Theory. ISIT Anshuka Rangi, Massimo Franceschetti
2019	J	`jnl`	Towards a Non-Stochastic Information Theory. CoRR Anshuka Rangi, Massimo Franceschetti
2019	A*	`conf`	Unifying the Stochastic and the Adversarial Bandits with Knapsack. IJCAI Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
2018	—	`conf`	Consensus-Based Chernoff Test in Sensor Networks. CDC Anshuka Rangi, Massimo Franceschetti, Stefano Maranò
2018	B	`conf`	Decentralized Chernoff Test in Sensor Networks. ISIT Anshuka Rangi, Massimo Franceschetti, Stefano Maranò
2018	J	`jnl`	Distributed Chernoff Test: Optimal decision systems over networks. CoRR Anshuka Rangi, Massimo Franceschetti, Stefano Maranò
2018	A	`conf`	Multi-Armed Bandit Algorithms for Crowdsourcing Systems with Online Estimation of Workers' Ability. AAMAS Anshuka Rangi, Massimo Franceschetti
2018	J	`jnl`	Online learning with feedback graphs and switching costs. CoRR Anshuka Rangi, Massimo Franceschetti
2018	J	`jnl`	Unifying the stochastic and the adversarial Bandits with Knapsack. CoRR Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh