Jekyll2025-01-22T04:06:38+00:00https://shivam15s.github.io/feed.xmlpersonal description{"avatar"=>"profile.jpg", "name"=>"", "pronouns"=>nil, "bio"=>"", "location"=>"Santa Clara, CA", "employer"=>nil, "uri"=>nil, "email"=>"[email protected]", "arxiv"=>nil, "googlescholar"=>"https://scholar.google.com/citations?user=jX3NaFwAAAAJ&hl=en&oi=ao", "impactstory"=>nil, "orcid"=>nil, "semantic"=>nil, "pubmed"=>nil, "researchgate"=>nil, "bitbucket"=>nil, "codepen"=>nil, "dribbble"=>nil, "github"=>"shivam15s", "kaggle"=>nil, "stackoverflow"=>nil, "bluesky"=>nil, "facebook"=>nil, "flickr"=>nil, "foursquare"=>nil, "goodreads"=>nil, "google_plus"=>nil, "keybase"=>nil, "instagram"=>nil, "lastfm"=>nil, "linkedin"=>"shivam-15-sahni", "mastodon"=>nil, "medium"=>nil, "pinterest"=>nil, "soundcloud"=>nil, "steam"=>nil, "telegram"=>nil, "tumblr"=>nil, "twitter"=>"shivam15sahni", "vine"=>nil, "weibo"=>nil, "wikipedia"=>nil, "xing"=>nil, "youtube"=>nil, "zhihu"=>nil}[email protected]2021-08-10T00:00:00+00:002021-08-10T00:00:00+00:00https://shivam15s.github.io/posts/2021/08/post-1Non-stationary GPs have shown great potential in overcoming the shortcomings of stationary GPs. In this blog post, we provide intuition about where the research in GP is heading towards and how the use of non-stationary kernels can improve the performance of supervised learning. Find the blog post here

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