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Tan Zhu

2 accepted papers

2023

Polyhedron Attention Module: Learning Adaptive-order Interactions

NeurIPS 2023poster

Learning feature interactions can be the key for multivariate predictive modeling. ReLU-activated neural networks create piecewise linear prediction models, and other nonlinear activation functions lead to models with only high-order feature interactions. Recent methods incorporate candidate polynom…

Cited by 0SourcePDFScholar
2021

An Efficient Algorithm for Deep Stochastic Contextual Bandits

AAAI 2021technical

In stochastic contextual bandit (SCB) problems, an agent selects an action based on certain observed context to maximize the cumulative reward over iterations. Recently there have been a few studies using a deep neural network (DNN) to predict the expected reward for an action, and the DNN is traine…