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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, и D. Tran. ICML, том 119 из Proceedings of Machine Learning Research, стр. 2782-2792. PMLR, (2020)

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Ming Wen

Wen Peng

Naiyen Wen

Wen Wang

Tingting Wen

Другие публикации лиц с тем же именем

Combining Ensembles and Data Augmentation Can Harm Your Calibration.Y. Wen, G. Jerfel, R. Muller, M. Dusenberry, J. Snoek, B. Lakshminarayanan, и D. Tran. ICLR, OpenReview.net, (2021)A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness.J. Liu, S. Padhy, J. Ren, Z. Lin, Y. Wen, G. Jerfel, Z. Nado, J. Snoek, D. Tran, и B. Lakshminarayanan. J. Mach. Learn. Res., (2023)Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches.Y. Wen, P. Vicol, J. Ba, D. Tran, и R. Grosse. ICLR (Poster), OpenReview.net, (2018)BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning.Y. Wen, D. Tran, и J. Ba. ICLR, OpenReview.net, (2020)An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise.Y. Wen, K. Luk, M. Gazeau, G. Zhang, H. Chan, и J. Ba. AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3621-3631. PMLR, (2020)A Language-Agent Approach to Formal Theorem-Proving.A. Thakur, Y. Wen, и S. Chaudhuri. CoRR, (2023)Neural Program Generation Modulo Static Analysis.R. Mukherjee, Y. Wen, D. Chaudhari, T. Reps, S. Chaudhuri, и C. Jermaine. NeurIPS, стр. 18984-18996. (2021)Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors.M. Dusenberry, G. Jerfel, Y. Wen, Y. Ma, J. Snoek, K. Heller, B. Lakshminarayanan, и D. Tran. ICML, том 119 из Proceedings of Machine Learning Research, стр. 2782-2792. PMLR, (2020)Natural Language to Code Generation in Interactive Data Science Notebooks.P. Yin, W. Li, K. Xiao, A. Rao, Y. Wen, K. Shi, J. Howland, P. Bailey, M. Catasta, H. Michalewski и 2 other автор(ы). ACL (1), стр. 126-173. Association for Computational Linguistics, (2023)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 и 14 other автор(ы). CoRR, (2021)

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