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Graph-Sparse LDA: A Topic Model with Structured Sparsity. Doshi-Velez, F, Wallace B, Adams RP.  Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence. Submitted.   { arXiv:1410.4510 [stat.ML] | PDF | Google Scholar | BibTex }
Learning the Structure of Deep Sparse Graphical Models. Adams, RP, Wallach HM, Ghahramani Z.  Journal of Machine Learning Research: Workshop and Conference Proceedings (AISTATS). 9:1-8. 2010.   { arXiv:1001.0160 [stat.ML] | PDF | Google Scholar | BibTex } Winner of Best Paper Award
Learning the Structure of Deep Sparse Graphical Models. Adams, RP, Wallach HM, Ghahramani Z.  Journal of Machine Learning Research: Workshop and Conference Proceedings (AISTATS). 9:1-8. 2010.   { arXiv:1001.0160 [stat.ML] | PDF | Google Scholar | BibTex } Winner of Best Paper Award
Learning the Structure of Deep Sparse Graphical Models. Adams, RP, Wallach HM, Ghahramani Z.  Journal of Machine Learning Research: Workshop and Conference Proceedings (AISTATS). 9:1-8. 2010.   { arXiv:1001.0160 [stat.ML] | PDF | Google Scholar | BibTex } Winner of Best Paper Award
Learning the Structure of Deep Sparse Graphical Models. Adams, RP, Wallach HM, Ghahramani Z.  Journal of Machine Learning Research: Workshop and Conference Proceedings (AISTATS). 9:1-8. 2010.   { arXiv:1001.0160 [stat.ML] | PDF | Google Scholar | BibTex } Winner of Best Paper Award
Graph-Sparse LDA: A Topic Model with Structured Sparsity. Doshi-Velez, F, Wallace B, Adams RP.  Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence. Submitted.   { arXiv:1410.4510 [stat.ML] | PDF | Google Scholar | BibTex }
Gaussian Process Kernels for Pattern Discovery and Extrapolation. Wilson, AG, Adams RP.  Proceedings of the 30th International Conference on Machine Learning. 2013.   { arXiv:1302.4245 [stat.ML] | PDF | Code | Google Scholar | BibTex }
Learning the Structure of Deep Sparse Graphical Models. Adams, RP, Wallach HM, Ghahramani Z.  Journal of Machine Learning Research: Workshop and Conference Proceedings (AISTATS). 9:1-8. 2010.   { arXiv:1001.0160 [stat.ML] | PDF | Google Scholar | BibTex } Winner of Best Paper Award