Asynchronous Methods in Gradient Descent
| dc.contributor.author | Ghosh, Koushik | |
| dc.date.accessioned | 2022-03-24T05:01:58Z | |
| dc.date.available | 2022-03-24T05:01:58Z | |
| dc.date.issued | 2021-07 | |
| dc.description | Dissertation under the supervision of Swagatam Das | en_US |
| dc.description.abstract | Su, Boyd and Candes ’14 [1] showed that if we make the stepsizes smaller and smaller, Nesterov Accelerated Gradient Descent converges to a 2nd order ODE. On the other hand, arjevani has shown recently some convergence results on delayed vanilla Gradient descent . Our idea is to take a delayed version of Nesterov Accelerated Gradient Descent and derive it’s corresponding ODE and prove convergence for the convex case. | en_US |
| dc.identifier.citation | 33p. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10263/7303 | |
| dc.language.iso | en | en_US |
| dc.publisher | Indian Statistical Institute, Kolkata. | en_US |
| dc.relation.ispartofseries | Dissertation;CS-1906 | |
| dc.subject | Nesterov Accelerated Gradient Descent | en_US |
| dc.subject | Asynchronous | en_US |
| dc.subject | Hogwild | en_US |
| dc.subject | DownPour SGD | en_US |
| dc.title | Asynchronous Methods in Gradient Descent | en_US |
| dc.type | Other | en_US |
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