{"id":20599656,"url":"https://github.com/adamdad/filter-gradient-decent","last_synced_at":"2025-04-15T00:41:26.629Z","repository":{"id":135592004,"uuid":"323203127","full_name":"Adamdad/Filter-Gradient-Decent","owner":"Adamdad","description":"In this paper, we propose Filter Gradient Decent (FGD), an efficient stochastic optimization algorithm that makes a consistent estimation of the local gradient by solving an adaptive filtering problem with different designs of filters.","archived":false,"fork":false,"pushed_at":"2021-05-18T08:01:43.000Z","size":1284,"stargazers_count":11,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-28T12:38:56.761Z","etag":null,"topics":["filters","stochastic-gradient-descent","variance-reduction"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Adamdad.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-12-21T01:42:38.000Z","updated_at":"2023-11-08T03:42:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"e7b73e80-cd36-46aa-81a7-85b93e1a3bbe","html_url":"https://github.com/Adamdad/Filter-Gradient-Decent","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adamdad%2FFilter-Gradient-Decent","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adamdad%2FFilter-Gradient-Decent/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adamdad%2FFilter-Gradient-Decent/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adamdad%2FFilter-Gradient-Decent/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Adamdad","download_url":"https://codeload.github.com/Adamdad/Filter-Gradient-Decent/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248986270,"owners_count":21194024,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["filters","stochastic-gradient-descent","variance-reduction"],"created_at":"2024-11-16T08:33:41.331Z","updated_at":"2025-04-15T00:41:26.615Z","avatar_url":"https://github.com/Adamdad.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Filter-Gradient-Decent\nUpdate: This project also include the code for paper\n\n**Kalman Optimizer for Consistent Gradient Descent**\n*Xingyi Yang, (ICASSP2021)* [paper](https://ieeexplore.ieee.org/document/9414588)\n\nCourse project for ECE 251C UCSD. Code for paper,\n\n**Stochastic Gradient Variance Reduction by Solving a Filtering Problem**\n\nIn this paper, we propose Filter Gradient Decent (FGD), an\nefficient stochastic optimization algorithm that make consistent\nestimation of the local gradient by solving an adaptive filtering\nproblem with different design of filters.\n\n![](paper/illustration.jpg)\n\n## Usage\n- To do later\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadamdad%2Ffilter-gradient-decent","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadamdad%2Ffilter-gradient-decent","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadamdad%2Ffilter-gradient-decent/lists"}