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Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels.

A. Immer, T. van der Ouderaa, M. van der Wilk, G. Rätsch, и B. Schölkopf. ICML, том 202 из Proceedings of Machine Learning Research, стр. 14333-14352. PMLR, (2023)

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Другие публикации лиц с тем же именем

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels.A. Immer, T. van der Ouderaa, M. van der Wilk, G. Rätsch, и B. Schölkopf. ICML, том 202 из Proceedings of Machine Learning Research, стр. 14333-14352. PMLR, (2023)Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations.A. Immer, T. van der Ouderaa, G. Rätsch, V. Fortuin, и M. van der Wilk. NeurIPS, (2022)On the Identifiability and Estimation of Causal Location-Scale Noise Models.A. Immer, C. Schultheiss, J. Vogt, B. Schölkopf, P. Bühlmann, и A. Marx. ICML, том 202 из Proceedings of Machine Learning Research, стр. 14316-14332. PMLR, (2023)Efficient learning of smooth probability functions from Bernoulli tests with guarantees.P. Rolland, A. Kavis, A. Immer, A. Singla, и V. Cevher. ICML, том 97 из Proceedings of Machine Learning Research, стр. 5459-5467. PMLR, (2019)Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion.A. Meterez, A. Joudaki, F. Orabona, A. Immer, G. Rätsch, и H. Daneshmand. CoRR, (2023)Sub-Matrix Factorization for Real-Time Vote Prediction.A. Immer, V. Kristof, M. Grossglauser, и P. Thiran. KDD, стр. 2280-2290. ACM, (2020)Laplace Redux - Effortless Bayesian Deep Learning.E. Daxberger, A. Kristiadi, A. Immer, R. Eschenhagen, M. Bauer, и P. Hennig. NeurIPS, стр. 20089-20103. (2021)Optimizing Routes of Public Transportation Systems by Analyzing the Data of Taxi Rides.K. Richly, R. Teusner, A. Immer, F. Windheuser, и L. Wolf. UrbanGIS@SIGSPATIAL, стр. 70-76. ACM, (2015)Learning Layer-wise Equivariances Automatically using Gradients.T. van der Ouderaa, A. Immer, и M. van der Wilk. CoRR, (2023)Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference.K. Bouchiat, A. Immer, H. Yèche, G. Rätsch, и V. Fortuin. CoRR, (2023)

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