activity
20142022
most citedThompson Sampling for Budgeted Multi-armed Bandits

32 citations · 48 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2022★ 5 cited

A Simple yet Effective Framework for Active Learning to Rank

Qingzhong Wang, Haifang Li, Haoyi Xiong +7

While China has become the biggest online market in the world with around 1 billion internet users, Baidu runs the world largest Chinese search engine serving more than hundreds of…

cs.LG2018

Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces

Haifang Li, Yingce Xia, Wensheng Zhang

Policy evaluation with linear function approximation is an important problem in reinforcement learning. When facing high-dimensional feature spaces, such a problem becomes extremel…

cs.LG2015★ 32 cited

Thompson Sampling for Budgeted Multi-armed Bandits

Yingce Xia, Haifang Li, Tao Qin +2

Thompson sampling is one of the earliest randomized algorithms for multi-armed bandits (MAB). In this paper, we extend the Thompson sampling to Budgeted MAB, where there is random…

cs.LG2014★ 3 cited

Generalization Analysis for Game-Theoretic Machine Learning

Haifang Li, Fei Tian, Wei Chen +2

For Internet applications like sponsored search, cautions need to be taken when using machine learning to optimize their mechanisms (e.g., auction) since self-interested agents in…

cs.LG2014★ 8 cited

Agent Behavior Prediction and Its Generalization Analysis

Fei Tian, Haifang Li, Wei Chen +3

Machine learning algorithms have been applied to predict agent behaviors in real-world dynamic systems, such as advertiser behaviors in sponsored search and worker behaviors in cro…