图 书 馆
分变分推理Split Variational Inference |
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| 课程网址: | http://videolectures.net/icml09_zoeter_svi/ |
| 主讲教师: | Onno Zoeter |
| 开课单位: | 施乐欧洲研究中心 |
| 开课时间: | 2009-08-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose a deterministic method to eval- uate the integral of a positive function based on soft-binning functions that smoothly cut the integral into smaller integrals that are easier to approximate. In combination with mean-field approximations for each individ- ual sub-part this leads to a tractable algo- rithm that alternates between the optimiza- tion of the bins and the approximation of the local integrals. We introduce suitable choices for the binning functions such that a stan- dard mean field approximation can be ex- tended to a split mean field approximation without the need for extra derivations. The method can be seen as a revival of the ideas underlying the mixture mean field approach. The latter can be obtained as a special case by taking soft-max functions for the binning. |
| 关 键 词: | 软分级功能; 正函数积分; 交替优化 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-07：lxf |
| 阅读次数: | 63 |