{"action":"opened","issue":{"url":"https://api.github.com/repos/Microsoft/CNTK/issues/2992","repository_url":"https://api.github.com/repos/Microsoft/CNTK","labels_url":"https://api.github.com/repos/Microsoft/CNTK/issues/2992/labels{/name}","comments_url":"https://api.github.com/repos/Microsoft/CNTK/issues/2992/comments","events_url":"https://api.github.com/repos/Microsoft/CNTK/issues/2992/events","html_url":"https://github.com/Microsoft/CNTK/issues/2992","id":300498204,"number":2992,"title":"[Feature] Training Deep Networks without Learning Rates Through Coin Betting","user":{"login":"kasungayan","id":11533672,"avatar_url":"https://avatars3.githubusercontent.com/u/11533672?v=4","gravatar_id":"","url":"https://api.github.com/users/kasungayan","html_url":"https://github.com/kasungayan","followers_url":"https://api.github.com/users/kasungayan/followers","following_url":"https://api.github.com/users/kasungayan/following{/other_user}","gists_url":"https://api.github.com/users/kasungayan/gists{/gist_id}","starred_url":"https://api.github.com/users/kasungayan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kasungayan/subscriptions","organizations_url":"https://api.github.com/users/kasungayan/orgs","repos_url":"https://api.github.com/users/kasungayan/repos","events_url":"https://api.github.com/users/kasungayan/events{/privacy}","received_events_url":"https://api.github.com/users/kasungayan/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-02-27T05:26:40Z","updated_at":"2018-02-27T05:26:40Z","closed_at":null,"author_association":"NONE","body":"Hi Team,\r\n\r\nCOntinuous COin Betting (COCOB) is a novel algorithm for stochastic subgradient descent (SGD) that does not require any learning rate setting, which was originally introduced in [1].  This would be very beneficial and handy for Deep learning tasks since this doesn't require any learning rate to tune. Also, it converges considerably faster than traditional momentum-based optimizers. \r\n\r\nDo you guys have any plans of integrating this feature to the CNTK stack in near future?\r\n\r\nThanks in advance.\r\n\r\n[1] [COCOB Paper](https://arxiv.org/abs/1705.07795)"}}
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