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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, M. Mohri, and C. Cortes. CoRR, (2019)

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Ghassen Tlig

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Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence.G. Jerfel, S. Wang, C. Fannjiang, K. Heller, Y. Ma, and M. Jordan. CoRR, (2021)Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning.Z. Nado, N. Band, M. Collier, J. Djolonga, M. Dusenberry, S. Farquhar, A. Filos, M. Havasi, R. Jenatton, G. Jerfel and 14 other author(s). CoRR, (2021)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)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)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). CoRR, (2020)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)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)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)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)

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Disambiguation of "Jerfel, Ghassen"

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AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles.

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Ghassen Tlig

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Disambiguation of "Jerfel, Ghassen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles.

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Ghassen Tlig

Other publications of authors with the same name

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AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles.