Search Results for author: Haifang Li

Found 6 papers, 1 papers with code

A Simple yet Effective Framework for Active Learning to Rank

no code implementations20 May 2022 Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin

To handle the diverse query requests from users at web-scale, Baidu has done tremendous efforts in understanding users' queries, retrieve relevant contents from a pool of trillions of webpages, and rank the most relevant webpages on the top of results.

Active Learning Learning-To-Rank

Thompson Sampling for Budgeted Multi-armed Bandits

no code implementations1 May 2015 Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu

In this paper, we extend the Thompson sampling to Budgeted MAB, where there is random cost for pulling an arm and the total cost is constrained by a budget.

Multi-Armed Bandits Thompson Sampling

Generalization Analysis for Game-Theoretic Machine Learning

no code implementations9 Oct 2014 Haifang Li, Fei Tian, Wei Chen, Tao Qin, Tie-Yan Liu

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 these applications may change their behaviors (and thus the data distribution) in response to the mechanisms.

BIG-bench Machine Learning

Agent Behavior Prediction and Its Generalization Analysis

no code implementations19 Apr 2014 Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu

Then we prove a generalization bound for the machine learning algorithms on the behavior data generated by the new Markov chain, which depends on both the Markovian parameters and the covering number of the function class compounded by the loss function for behavior prediction and the behavior prediction model.

BIG-bench Machine Learning

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