36 citations · 70 across the 7 of their papers we have counts for
7 papers
Robust Consensus Clustering and its Applications for Advertising Forecasting
Deguang Kong, Miao Lu, Konstantin Shmakov +1
Consensus clustering aggregates partitions in order to find a better fit by reconciling clustering results from different sources/executions. In practice, there exist noise and out…
Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes
Deguang Kong, Konstantin Shmakov, Jian Yang
In computational advertising, a challenging problem is how to recommend the bid for advertisers to achieve the best return on investment (ROI) given budget constraint. This paper p…
Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization
Deguang Kong, Konstantin Shmakov, Jian Yang
In cost-per-click (CPC) or cost-per-impression (CPM) advertising campaigns, advertisers always run the risk of spending the budget without getting enough conversions. Moreover, the…
Sparse Tensor Additive Regression
Botao Hao, Boxiang Wang, Pengyuan Wang +3
Tensors are becoming prevalent in modern applications such as medical imaging and digital marketing. In this paper, we propose a sparse tensor additive regression (STAR) that model…
Provable Convex Co-clustering of Tensors
Eric C. Chi, Brian R. Gaines, Will Wei Sun +2
Cluster analysis is a fundamental tool for pattern discovery of complex heterogeneous data. Prevalent clustering methods mainly focus on vector or matrix-variate data and are not a…
SHALE: An Efficient Algorithm for Allocation of Guaranteed Display Advertising
Vijay Bharadwaj, Peiji Chen, Wenjing Ma +5
Motivated by the problem of optimizing allocation in guaranteed display advertising, we develop an efficient, lightweight method of generating a compact {\em allocation plan} that…
Inventory Allocation for Online Graphical Display Advertising
Jian Yang, Erik Vee, Sergei Vassilvitskii +4
We discuss a multi-objective/goal programming model for the allocation of inventory of graphical advertisements. The model considers two types of campaigns: guaranteed delivery (GD…