Author of the publication

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes

, , , , , , , , and . (2018)cite arxiv:1810.05148Comment: Published as a conference paper at ICLR 2019.

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes., , , , , , , , and . ICLR (Poster), OpenReview.net, (2019)Neural Tangents: Fast and Easy Infinite Neural Networks in Python., , , , , , and . CoRR, (2019)On Component Interactions in Two-Stage Recommender Systems., , , and . NeurIPS, page 2744-2757. (2021)Orthogonal Estimation of Wasserstein Distances., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 186-195. PMLR, (2019)Concrete Dropout., , and . NIPS, page 3581-3590. (2017)Beyond Use-Cases: A Participatory Approach to Envisioning Data Science in Law Enforcement., , , and . FAccT, page 1809-1826. ACM, (2024)The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments., , , , , and . FAccT, page 1553-1569. ACM, (2023)Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 8926-8945. PMLR, (2022)Modeling content creator incentives on algorithm-curated platforms., , , , and . ICLR, OpenReview.net, (2023)Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes, , , , , , , , and . (2018)cite arxiv:1810.05148Comment: Published as a conference paper at ICLR 2019.