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Improving Robustness of Stochastic Gradient Descent Optimizers against Real-world Heavy-tailed Datasets

Improving Robustness of Stochastic Gradient Descent Optimizers against Real-world Heavy-tailed Datasets

Wendyam Eric Lionel Ilboudo

生駒 : 奈良先端科学技術大学院大学, 2021.3

Thesis / Diss.

Volume No.

Total: 1
No. Printing year Location Call Number Material ID Circulation class Status Waiting

1

R016942

Details

Publication year

2021

Alternative title

実世界のヘビーテールデータセットに対する確率勾配降下最適化器のロバスト性の向上

Series title

奈良先端科学技術大学院大学先端科学技術研究科修士論文 ; 2021/3/1

Note

学位記番号: 修第8452号

学位授与年月日: 2021/03/31

学位の種類: 修士(工学)

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

Ilboudo, Wendyam Eric Lionel

Subject

Robust optimization

stochastic gradient descent (SGD)

Student's t-distribution

heavy-tail datasets

robust behavioral cloning