Achieving desirable loss distributions by design
-
- HOLLAND Matthew J.
- Osaka University
Bibliographic Information
- Other Title
-
- 汎化指標を基軸とした学習則の設計と損失分布の変容
Description
<p>In this work, we are interested in studying the potential of learning algorithm design that is driven by novel, diverse notions of "risk" that go well beyond the traditional choice of expected loss. In particular, we look the impact that introducing a generalized, scalable, bidirectional dispersion term has on how risk is measured, and the repercussions it has in the dynamic setting of stochastic optimization.</p>
Journal
-
- Proceedings of the Annual Conference of JSAI
-
Proceedings of the Annual Conference of JSAI JSAI2022 (0), 1D1GS204-1D1GS204, 2022
The Japanese Society for Artificial Intelligence
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390574181079107584
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
-
- Abstract License Flag
- Disallowed