Yue Wang
Artificial Intelligence · with Chen · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Information Systems — 9 citations into it
Whom Yue Wang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiangnan He (in Information Systems)
- Tat-seng Chua (in Information Systems)
Papers from Yue Wang's perspective
Ordered by how strongly the researchers Yue Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Practical Bayesian Optimization of Machine Learning Algorithms
- TensorFlow: A system for large-scale machine learning
- Scalable Bayesian Optimization Using Deep Neural Networks
- Matrix Factorization Techniques for Recommender Systems
- Adaptive Regularization in Neural Network Modeling
- BPR: Bayesian Personalized Ranking from Implicit Feedback
- Neural Collaborative Filtering
- Performance of recommender algorithms on top-n recommendation tasks
- Taking the Human Out of the Loop: A Review of Bayesian Optimization
Their papers
- λOpt: Learn to Regularize Recommender Models in Finer Levels (2019) — 47 citations