Fang Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Multi Armed Bandits

Joint Replenishment

Bandit Problems

Top Venues

Publications

Rahul Singh, Fang Liu, Yin Sun, Ness B. Shroff
Multi-armed bandits with dependent arms. Mach. Learn. 113 (1) (2024)
Rahul Singh, Fang Liu, Ness B. Shroff
A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19. CoRR (2020)
Rahul Singh, Fang Liu, Yin Sun, Ness B. Shroff
Multi-Armed Bandits with Dependent Arms. CoRR (2020)
Rahul Singh, Fang Liu, Xin Liu, Ness B. Shroff
Contextual Bandits with Side-Observations. CoRR (2020)
Fang Liu, Ness B. Shroff
Data Poisoning Attacks on Stochastic Bandits. CoRR (2019)
Fang Liu, Ness B. Shroff
Data Poisoning Attacks on Stochastic Bandits. ICML (2019)
Fang Liu, Zizhan Zheng, Ness B. Shroff
Analysis of Thompson Sampling for Graphical Bandits Without the Graphs. CoRR (2018)
Fang Liu, Zizhan Zheng, Ness B. Shroff
Analysis of Thompson Sampling for Graphical Bandits Without the Graphs. UAI (2018)
Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness B. Shroff
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits. IJCAI (2018)
Fang Liu, Joohyun Lee, Ness B. Shroff
A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem. AAAI (2018)
Fang Liu, Swapna Buccapatnam, Ness B. Shroff
Information Directed Sampling for Stochastic Bandits With Graph Feedback. AAAI (2018)
Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness B. Shroff
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits. CoRR (2018)
Joohyun Lee, Fang Liu, Kyunghan Lee, Ness B. Shroff
iMUTE: Energy-optimal update policy for perishable mobile contents. ICNP (2017)
Sinong Wang, Fang Liu, Ness B. Shroff
Non-Additive Security Games. AAAI (2017)
Fang Liu, Joohyun Lee, Ness B. Shroff
A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem. CoRR (2017)
Fang Liu, Swapna Buccapatnam, Ness B. Shroff
Information Directed Sampling for Stochastic Bandits with Graph Feedback. CoRR (2017)
Swapna Buccapatnam, Fang Liu, Atilla Eryilmaz, Ness B. Shroff
Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks. J. Mach. Learn. Res. 18 (2017)
Swapna Buccapatnam, Fang Liu, Atilla Eryilmaz, Ness B. Shroff
Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks. CoRR (2017)
Fang Liu, Zhiyong Chen, Bin Xia
Data Dissemination With Network Coding in Two-Way Vehicle-to-Vehicle Networks. IEEE Trans. Veh. Technol. 65 (4) (2016)
Sinong Wang, Fang Liu, Ness B. Shroff
Non-additive Security Game. CoRR (2016)