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Found 3 papers, 2 papers with code
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
The behavior of many Bayesian models used in machine learning critically depends on the choice of prior distributions, controlled by some hyperparameters that are typically selected by Bayesian optimization or cross-validation.
Augmented Memory Networks for Streaming-Based Active One-Shot Learning
In stream-based AL, observations are continuously made available to the learner that have to decide whether to request a label or to make a prediction.
Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions
In this work we combine these two extensions in a joint model for the tasks of recommendation and return-time prediction.
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