Edithistory:Reparametrization trick
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| oldid | date/time | username | edit summary |
|---|---|---|---|
| 1134698525 | 2023-01-20T02:53:28Z | Cosmia Nebula | /* Mathematical principle */ |
| 1117702266 | 2022-10-23T03:56:13Z | Cosmia Nebula | |
| 1107129926 | 2022-08-28T09:27:04Z | Citation bot | Alter: template type, journal. Add: doi, bibcode, s2cid, arxiv, eprint, class, authors 1-1. Removed parameters. Some additions/deletions were parameter name changes. Upgrade ISBN10 to 13. | [[WP:UCB|Use this bot]]. [[WP:DBUG|Report bugs]]. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox | #UCB_webform_linked 52/52 |
| 1107118156 | 2022-08-28T07:22:20Z | JCW-CleanerBot | Various citation & identifier cleanup, plus AWB genfixes (arxiv version pointless when published) |
| 1096070385 | 2022-07-02T03:24:07Z | Cosmia Nebula | /* Gumbel max tricks */ |
| 1096014580 | 2022-07-01T19:02:21Z | Cosmia Nebula | /* Main methods */ |
| 1096014443 | 2022-07-01T19:01:16Z | Cosmia Nebula | /* Main methods */ |
| 1096012706 | 2022-07-01T18:48:04Z | Cosmia Nebula | /* Mathematical principle */ |
| 1096012225 | 2022-07-01T18:44:36Z | Cosmia Nebula | /* Mathematical principle */ |
| 1096011455 | 2022-07-01T18:39:11Z | Cosmia Nebula | /* Estimating bounds of partition functions */ |
| 1096009141 | 2022-07-01T18:21:26Z | Cosmia Nebula | /* Applications */ |
| 1096008826 | 2022-07-01T18:19:06Z | Cosmia Nebula | /* Main methods */ |
| 1096007997 | 2022-07-01T18:13:24Z | Cosmia Nebula | /* Gumbel softmax method */ |
| 1096007801 | 2022-07-01T18:12:16Z | Cosmia Nebula | /* Main methods */ loss |
| 1095215049 | 2022-06-27T03:00:43Z | BattyBot | /* Gumbel softmax method */Fixed [[:Category:CS1 maint: extra punctuation|CS1 maint: extra punctuation]] and [[WP:AWB/GF|general fixes]] |
| 1095194963 | 2022-06-26T23:59:51Z | Keith D | /* Gumbel softmax method */Fix cite date error |
| 1095180410 | 2022-06-26T21:47:40Z | Cosmia Nebula | /* Mathematical principle */ |
| 1095180277 | 2022-06-26T21:46:07Z | Cosmia Nebula | /* The reparametrization trick */ |
| 1095179636 | 2022-06-26T21:40:16Z | Cosmia Nebula | /* Monte Carlo method */ |
| 1095178686 | 2022-06-26T21:31:39Z | Cosmia Nebula | /* Motivation */ |
| 1095178555 | 2022-06-26T21:30:25Z | Cosmia Nebula | /* The reparametrization trick */ |
| 1095177536 | 2022-06-26T21:21:12Z | Cosmia Nebula | /* Setup: estimating gradient-of-expectation */ |
| 1095172040 | 2022-06-26T20:35:32Z | Cosmia Nebula | /* REINFORCE */ statestimation |
| 1095154059 | 2022-06-26T18:20:21Z | Cosmia Nebula | /* Mathematical principle */ |
| 1095153951 | 2022-06-26T18:19:40Z | Cosmia Nebula | /* Related methods */ |
| 1095148312 | 2022-06-26T17:42:30Z | Cosmia Nebula | [[WP:AES|←]]Created page with '{{subst:AfC submission/draftnew}}<!-- Important, do not remove this line before article has been created. --> In [[machine learning]], the reparametrization trick is a collection of methods to allow [[gradient descent]] across a stochastic process. == Mathematical principle == Given a family of distributions <math>\{p_\theta\}_\theta</math>, consider == Main methods == There are many different ways to perform reparametrization trick, for diverse purp...' |
