Search Results for author: Mehmet Burak Kurutmaz

Found 2 papers, 1 papers with code

Bayesian Model Selection for Identifying Markov Equivalent Causal Graphs

no code implementations • pproximateinference AABI Symposium 2019 • Mehmet Burak Kurutmaz, Melih Barsbey, Ali Taylan Cemgil, Sinan Yildirim, Umut Şimşekli

We believe that the Bayesian approach to causal discovery both allows the rich methodology of Bayesian inference to be used in various difficult aspects of this problem and provides a unifying framework to causal discovery research.

Bayesian Inference Causal Discovery +1

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Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns

1 code implementation • 11 Mar 2019 • Ali Taylan Cemgil, Mehmet Burak Kurutmaz, Sinan Yildirim, Melih Barsbey, Umut Simsekli

We introduce a dynamic generative model, Bayesian allocation model (BAM), which establishes explicit connections between nonnegative tensor factorization (NTF), graphical models of discrete probability distributions and their Bayesian extensions, and the topic models such as the latent Dirichlet allocation.

Model Selection Topic Models

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