| Presentation | 2017-12-14 [Invited Talk] Introduction to causal discovery Shohei Shimizu, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Causal structure learning is one of the most exciting new topics in the fields of machine learning and statistics. This talk is an introdution to causal structure learning methods, particularly those based on the linear, non-Gaussian, acyclic model known as LiNGAM. These non-Gaussian data analysis tools can fully estimate the underlying causal structures of variables under assumptions. This feature is in contrast to other approaches. I also discuss an application of causal discovery methods to understanding prediction mechanisms of predictive models. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | causal discovery / machine learning |
| Paper # | IN2017-49,IA2017-56 |
| Date of Issue | 2017-12-07 (IN, IA) |
| Conference Information | |
| Committee | IA / IN |
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| Conference Date | 2017/12/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima City Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
| Chair | Katsuyoshi Iida(Hokkaido Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.) |
| Vice Chair | Rei Atarashi(IIJ) / Hiroyuki Osaki(Kwansei Gakuin Univ.) / Tomoki Yoshihisa(Osaka Univ.) / Takuji Kishida(NTT) |
| Secretary | Rei Atarashi(Tokyo Metropolitan Univ.) / Hiroyuki Osaki(TOYOTA-IT) / Tomoki Yoshihisa(NTT) / Takuji Kishida(NTT) |
| Assistant | Kenji Ohira(Tokushima Univ.) / Ryohei Banno(NTT) / Toshiki Watanabe(NEC) |
| Paper Information | |
| Registration To | Technical Committee on Internet Architecture / Technical Committee on Information Networks |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Invited Talk] Introduction to causal discovery |
| Sub Title (in English) | |
| Keyword(1) | causal discovery |
| Keyword(2) | machine learning |
| 1st Author's Name | Shohei Shimizu |
| 1st Author's Affiliation | Shiga University(Shiga Univ.) |
| Date | 2017-12-14 |
| Paper # | IN2017-49,IA2017-56 |
| Volume (vol) | vol.117 |
| Number (no) | IN-353,IA-354 |
| Page | pp.pp.19-24(IN), pp.19-24(IA), |
| #Pages | 6 |
| Date of Issue | 2017-12-07 (IN, IA) |