11. Prosinec 2019
00:05 Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models - Shanshan Wu 04:13 Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay - Frederic Koehler 08:50 Smoothing Structured Decomposable Circuits - Andy Shih 13:18 Counting the Optimal Solutions in Graphical Models - Radu Marinescu 17:45 Combining Generative and Discriminative Models for Hybrid Inference - Victor Garcia Satorras
Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.
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