| Presentation | 2023-12-21 On the benefits of Partial Stochastic Bayesian Neural Networks Koki Sato, Daniel Andrade, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Bayesian neural networks (BNNs) can model uncertainty in the prediction results better than ordinary neural networks. However, accurate approximation of the posterior distribution via Markov chain Monte Carlo (MCMC) methods is computationally expensive due to the large number of parameters in the BNNs. Therefore, in this study, we evaluate the effectiveness of fixing some of the model parameters using the Maximum-A-Posterior (MAP) method, and only sample from a small set of remaining parameters. Extensive evaluation of various regression datasets confirm the effectiveness of the partial stochastic BNNs. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural Networks / Bayesian Inference / Markov Chain Monte Carlo / sampling efficiency |
| Paper # | IBISML2023-36 |
| Date of Issue | 2023-12-13 (IBISML) |
| Conference Information | |
| Committee | IBISML |
|---|---|
| Conference Date | 2023/12/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute of Informatics |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | machine learning, etc. |
| Chair | Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Toshihiro Kamishima(NTT) / Koji Tsuda(Hokkaido Univ.) |
| Assistant | Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Univ.of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Information-Based Induction Sciences and Machine Learning |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On the benefits of Partial Stochastic Bayesian Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | Neural Networks |
| Keyword(2) | Bayesian Inference |
| Keyword(3) | Markov Chain Monte Carlo |
| Keyword(4) | sampling efficiency |
| 1st Author's Name | Koki Sato |
| 1st Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 2nd Author's Name | Daniel Andrade |
| 2nd Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| Date | 2023-12-21 |
| Paper # | IBISML2023-36 |
| Volume (vol) | vol.123 |
| Number (no) | IBISML-311 |
| Page | pp.pp.37-41(IBISML), |
| #Pages | 5 |
| Date of Issue | 2023-12-13 (IBISML) |