Session information

General Session

General Session » GS-1 Fundamental AI, theory

[1G3-GS-1] Fundamental AI, theory: algorithm

Tue. Jun 6, 2023 1:00 PM - 2:40 PM Room G (A4)

座長：金秀明（NTT） [オンライン]

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1:00 PM - 1:20 PM

[1G3-GS-1-01] Learning Differential Equations of Dynamical Systems Based on Discovery of Causal Networks from Multivariate Time Series

〇Mitsuhiro Odaka^1,2,3,4, Morgan Magnin^3,2, Katsumi Inoue^2,1,3 (1. The Graduate University for Advanced Studies, SOKENDAI, 2. National Institute of Informatics, 3. École Centrale Nantes, LS2N, France, 4. Japan Society for the Promotion of Science)

1:20 PM - 1:40 PM

[1G3-GS-1-02] A Study on Selection Bias Correction Based on Statistical Decision Theory in Logistic Regression Models

〇Taichi Abe¹, Tota Suko¹, Masayuki Goto¹ (1. Waseda University)

1:40 PM - 2:00 PM

[1G3-GS-1-03] A study on a recommender model based on the Neural Collaborative Ranking model utilizing multiple implicit feedback with ordering relationships

〇Ryuta Matsuoka¹, Akiko Yoneda¹, Haruka Yamashita², Masayuki Goto¹ (1. Waseda University, 2. Sophia University)

2:00 PM - 2:20 PM

[1G3-GS-1-04] Category Theory Perspective on Deep Learning that Preserves Mathematical Structures

〇Takashi Matsubara¹ (1. Osaka University)

2:20 PM - 2:40 PM

[1G3-GS-1-05] A learning algorithm for robustly minimizing mean-variance of the loss distribution

〇Matthew James Holland¹ (1. Osaka University)

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