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08/02/2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning
Hierarchical reinforcement learning composites subpolicies in different ...
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05/21/2023
PRODIGY: Enabling In-context Learning Over Graphs
In-context learning is the ability of a pretrained model to adapt to nov...
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07/04/2022
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy
Visual relations form the basis of understanding our compositional world...
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05/23/2022
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation
Multi-Label Image Classification (MLIC) approaches usually exploit label...
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03/04/2022
Aggregate effects of advertising decisions: a complex systems look at search engine advertising via an experimental study
Purpose: We model group advertising decisions, which are the collective ...
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02/28/2022
Learning Parameters for a Generalized Vidale-Wolfe Response Model with Flexible Ad Elasticity and Word-of-Mouth
In this research, we investigate a generalized form of Vidale-Wolfe (GVW...
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02/28/2022
Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework
In sponsored search advertising, keywords serve as an essential bridge l...
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08/15/2020
How Search Engine Advertising Affects Sales over Time: An Empirical Investigation
As a mainstream marketing channel on the Internet, Search Engine Adverti...
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09/30/2019
Spread-gram: A spreading-activation schema of network structural learning
Network representation learning has exploded recently. However, existing...
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08/26/2018
