Proceedings of the 20th conference on Uncertainty in artificial intelligence

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A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017, methodology): “Although the well-known autoregressive moving average (ARMA) model [Whittle, 1951] and its variants [Thiesson et al., 2004; Brockwell and Davis, 2009] have shown their effectiveness for various real world applications, they cannot model nonlinear relationships and do not differentiate among the exog”
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns (2019, methodology): “A commonly used technique for deﬁn-ing MDP similarity is bisimulation metric [Hu et al. , 2015; Song et al. , 2016; Ferns et al. , 2004], which exactly captures the property of rewards and state transitions in an MDP.”
Correlated Topic Models (2005, methodology): “Recent work has used LDA as a module in more complicated document models [8] [10] [6], and in a variety of settings such as image processing [11], collaborative filtering [7], disability survey data [4], population genetics [9], and the modeling of sequential data and user profiles [5].”
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey (2017, background): “Author-Topic model [133], is a popular and simple probabilistic model in topic modeling for finding relationships among authors, topics, words and documents.”