- [Q] a few basic questions about gaussian processes https://en.wikipedia.org/wiki/Gaussian_process#Usual_covariance_functions 19 comments statistics
Linking pages
- Evolution as Backstop for Reinforcement Learning · Gwern.net https://www.gwern.net/Backstop#pain-is-the-only-school-teacher 61 comments
- Why Tool AIs Want to Be Agent AIs · Gwern.net http://www.gwern.net/Tool%20AI 58 comments
- Machine Learning for Computer Architecture – Google AI Blog https://ai.googleblog.com/2021/02/machine-learning-for-computer.html 21 comments
- Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI - Home http://alexgkendall.com/computer_vision/bayesian_deep_learning_for_safe_ai/ 17 comments
- Gaussian Processes are Not So Fancy https://planspace.org/20181226-gaussian_processes_are_not_so_fancy/ 6 comments
- Geometric correlations | Abel Jansma https://abeljansma.nl/2020/06/16/geometric-correlations.html 5 comments
- Brownian Motion in Financial Markets | by Jørgen Veisdal | Cantor’s Paradise https://medium.com/cantors-paradise/brownian-motion-in-financial-markets-ea5f02204b14 4 comments
- Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI - Home https://alexgkendall.github.io/computer_vision/bayesian_deep_learning_for_safe_ai/ 3 comments
- OptFormer: Towards Universal Hyperparameter Optimization with Transformers – Google AI Blog https://ai.googleblog.com/2022/08/optformer-towards-universal.html 1 comment
- Why Tool AIs Want to Be Agent AIs · Gwern.net https://www.gwern.net/Tool-AI 1 comment
- Interpreting AI Is More Than Black And White https://www.forbes.com/sites/alexanderlavin/2019/06/17/beyond-black-box-ai 1 comment
- Scaling laws of optimization – Machine Learning Research Blog https://francisbach.com/scaling-laws-of-optimization/ 1 comment
- Sensor Data in Locations: Wi-Fi. By Yunjie Zhao, James Murphy, Yuanyuan… | by Yunjie Zhao | Lyft Engineering https://eng.lyft.com/sensor-data-in-localization-wi-fi-329ea84db959 0 comments
- Berkeley Deep RL Bootcamp http://planspace.org/20170830-berkeley_deep_rl_bootcamp/ 0 comments
- (Robot) data scientists as a service | by Jacopo Tagliabue | Towards Data Science https://towardsdatascience.com/robot-data-scientists-as-a-service-80224f5e928a 0 comments
- Deep Learning, Pachinko, and James Watt: Efficiency is the Driver of Uncertainty http://inverseprobability.com/2016/03/04/deep-learning-and-uncertainty 0 comments
- How to Implement Bayesian Optimization from Scratch in Python - MachineLearningMastery.com https://machinelearningmastery.com/what-is-bayesian-optimization/ 0 comments
- Nonparametric Bayesian Regression with Gaussian Processes | Austin Rochford http://www.austinrochford.com/posts/2014-03-23-bayesian-nonparamtric-regression-gp.html 0 comments
- AI Is About to Learn More Like Humans—with a Little Uncertainty | WIRED https://www.wired.com/2017/02/ai-learn-like-humans-little-uncertainty/ 0 comments
- NLP Year in Review — 2019. NLP highlights for the year 2019. | by elvis | DAIR.AI | Medium https://medium.com/dair-ai/nlp-year-in-review-2019-fb8d523bcb19 0 comments
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