1.2k citations · 9.1k across the 205 of their papers we have counts for
10 papers · 1 filter
LightLDA: Big Topic Models on Modest Compute Clusters
Jinhui Yuan, Fei Gao, Qirong Ho +6
When building large-scale machine learning (ML) programs, such as big topic models or deep neural nets, one usually assumes such tasks can only be attempted with industrial-sized c…
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…
The effect of a finite time horizon in the durable good monopoly problem with atomic consumers
Gerardo Berbeglia, Peter Sloan, Adrian Vetta
A durable good is a long-lasting good that can be consumed repeatedly over time, and a duropolist is a monopolist in the market of a durable good. In 1972, Ronald Coase conjectured…
WordRep: A Benchmark for Research on Learning Word Representations
Bin Gao, Jiang Bian, Tie-Yan Liu
WordRep is a benchmark collection for the research on learning distributed word representations (or word embeddings), released by Microsoft Research. In this paper, we describe the…
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search
Di He, Wei Chen, Liwei Wang +1
Sponsored search is an important monetization channel for search engines, in which an auction mechanism is used to select the ads shown to users and determine the prices charged fr…
Incentivizing High-quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium
Yingce Xia, Tao Qin, Nenghai Yu +1
We study the existence of pure Nash equilibrium (PNE) for the mechanisms used in Internet services (e.g., online reviews and question-answer websites) to incentivize users to gener…
Generalized Second Price Auction with Probabilistic Broad Match
Wei Chen, Di He, Tie-Yan Liu +3
Generalized Second Price (GSP) auctions are widely used by search engines today to sell their ad slots. Most search engines have supported broad match between queries and bid keywo…
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Yuyu Zhang, Hanjun Dai, Chang Xu +5
Click prediction is one of the fundamental problems in sponsored search. Most of existing studies took advantage of machine learning approaches to predict ad click for each event o…
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…
Online Mechanism Design for Cloud Computing
Weidong Ma, Bo Zheng, Tao Qin +2
In this work, we study the problem of online mechanism design for resources allocation and pricing in cloud computing (RAPCC). We show that in general the allocation problems in RA…