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Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible.

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General Latent Feature Modeling for Data Exploration Tasks., , and . CoRR, (2017)Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens., , , , , , , , and . CHI, page 659:1-659:14. ACM, (2021)Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade., , , , and . CoRR, (2018)Output-Constrained Bayesian Neural Networks., , , , , , , and . CoRR, (2019)Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit., , and . Entropy, 18 (12): 449 (2016)Sparse Three-Parameter Restricted Indian Buffet Process for Understanding International Trade., , , , and . ICASSP, page 2476-2480. IEEE, (2018)Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible., , , , , and . CoRR, (2021)Evaluating Approximate Inference in Bayesian Deep Learning., , , , , , , , , and . NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 113-124. PMLR, (2021)AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires., , , , , , , , , and 1 other author(s). MLHC, volume 219 of Proceedings of Machine Learning Research, page 588-611. PMLR, (2023)General Latent Feature Models for Heterogeneous Datasets., , , and . J. Mach. Learn. Res., (2020)