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Title | Black Box Learning and |
Description | Black Box Learning and Inference NIPS Workshop, 12 December 2015, Montréal, Canada Description Submissions Abstracts Schedule Organizers Keynote Talks Jos |
Keywords | N/A |
WebSite | blackboxworkshop.org |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$382,063
Last updated: 2022-11-08 17:07:52
blackboxworkshop.org has Semrush global rank of 27,703,051. blackboxworkshop.org has an estimated worth of US$ 382,063, based on its estimated Ads revenue. blackboxworkshop.org receives approximately 44,085 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, blackboxworkshop.org is safe to visit. |
Purchase/Sale Value | US$382,063 |
Daily Ads Revenue | US$353 |
Monthly Ads Revenue | US$10,581 |
Yearly Ads Revenue | US$126,963 |
Daily Unique Visitors | 2,939 |
Note: All traffic and earnings values are estimates. |
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Black Box Learning and Inference NIPS Workshop, 12 December 2015, Montréal, Canada Description Submissions Abstracts Schedule Organizers Keynote Talks Josh Tenenbaum Ruslan Salakutdinov Research Talks Durk Kingma Alp Kucukelbir Dustin Tran Jan-Willem van de Meent Research Panel Frank Wood Ruslan Salakutdinov Dave Blei Zoubin Ghahramani Language Talks and Panel Koray Kavukcuoglu Michael Betancourt Vikash Mansinghka Avi Pfeffer Chung-chieh Shan Yi Wu Daniel Tarlow Overview Probabilistic models have traditionally co-evolved with tailored algorithms for efficient learning and inference. One of the exciting developments of recent years has been the resurgence of black box methods, which make relatively few assumptions about the model structure, allowing application to broader model families. In probabilistic programming systems, black box methods have greatly improved the capabilities of inference back ends. Similarly, the design of connectionist models has been simplified by the |
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