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Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors.

M. Dusenberry, G. Jerfel, Y. Wen, Y. Ma, J. Snoek, K. Heller, B. Lakshminarayanan, and D. Tran. ICML, volume 119 of Proceedings of Machine Learning Research, page 2782-2792. PMLR, (2020)

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Ghassen Tlig

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Underspecification Presents Challenges for Credibility in Modern Machine Learning.A. D'Amour, K. Heller, D. Moldovan, B. Adlam, B. Alipanahi, A. Beutel, C. Chen, J. Deaton, J. Eisenstein, M. Hoffman and 30 other author(s). J. Mach. Learn. Res., (2022)Analyzing the role of model uncertainty for electronic health records.M. Dusenberry, D. Tran, E. Choi, J. Kemp, J. Nixon, G. Jerfel, K. Heller, and A. Dai. CHIL, page 204-213. ACM, (2020)AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles.C. Weill, J. Gonzalvo, V. Kuznetsov, S. Yang, S. Yak, H. Mazzawi, E. Hotaj, G. Jerfel, V. Macko, B. Adlam and 2 other author(s). CoRR, (2019)Dynamic Collaborative Filtering With Compound Poisson Factorization.G. Jerfel, M. Basbug, and B. Engelhardt. AISTATS, volume 54 of Proceedings of Machine Learning Research, page 738-747. PMLR, (2017)Sparse MoEs meet Efficient Ensembles.J. Allingham, F. Wenzel, Z. Mariet, B. Mustafa, J. Puigcerver, N. Houlsby, G. Jerfel, V. Fortuin, B. Lakshminarayanan, J. Snoek and 3 other author(s). CoRR, (2021)Variational refinement for importance sampling using the forward Kullback-Leibler divergence.G. Jerfel, S. Wang, C. Wong-Fannjiang, K. Heller, Y. Ma, and M. Jordan. UAI, volume 161 of Proceedings of Machine Learning Research, page 1819-1829. AUAI Press, (2021)Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks.N. Band, T. Rudner, Q. Feng, A. Filos, Z. Nado, M. Dusenberry, G. Jerfel, D. Tran, and Y. Gal. NeurIPS Datasets and Benchmarks, (2021)Reconciling meta-learning and continual learning with online mixtures of tasks.G. Jerfel, E. Grant, T. Griffiths, and K. Heller. NeurIPS, page 9119-9130. (2019)Combining Ensembles and Data Augmentation can Harm your Calibration.Y. Wen, G. Jerfel, R. Muller, M. Dusenberry, J. Snoek, B. Lakshminarayanan, and D. Tran. CoRR, (2020)Sparse MoEs meet Efficient Ensembles.J. Allingham, F. Wenzel, Z. Mariet, B. Mustafa, J. Puigcerver, N. Houlsby, G. Jerfel, V. Fortuin, B. Lakshminarayanan, J. Snoek and 3 other author(s). Trans. Mach. Learn. Res., (2022)

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Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors.

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Ghassen Tlig

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Ghassen Tlig

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Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors.