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Found 3 papers, 2 papers with code
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI
In the current landscape of deep learning research, there is a predominant emphasis on achieving high predictive accuracy in supervised tasks involving large image and language datasets.
Bayesian Context Trees: Modelling and exact inference for discrete time series
We develop a new Bayesian modelling framework for the class of higher-order, variable-memory Markov chains, and introduce an associated collection of methodological tools for exact inference with discrete time series.
Methodology Information Theory Information Theory Applications Computation
Modeling Tabular data using Conditional GAN
Tabular data usually contains a mix of discrete and continuous columns.
