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Neural Computation
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September 23, 2024
Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration
Onur Boyar, Ichiro Takeuchi
Neural Computation
|
July 8, 2025
Crystal-LSBO: Automated Design of De Novo Crystals With Latent Space Bayesian Optimization
Onur Boyar, Yanheng Gu, Yuji Tanaka, et al.
Neural Computation
|
February 7, 2009
Nonparametric conditional density estimation using piecewise-linear solution path of kernel quantile regression
Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori
Neural Computation
|
October 28, 2021
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Neural Computation
|
October 25, 2002
Robust regression with asymmetric heavy-tail noise distributions
Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori
Neural Computation
|
October 16, 2019
Safe Triplet Screening for Distance Metric Learning
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Neural Computation
|
August 16, 2020
Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives
Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, et al.
Neural Computation
|
October 16, 2023
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications
Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, et al.
Neural Computation
|
October 20, 2020
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions
Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Neural Computation
|
August 16, 2020
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation
Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Neural Computation
|
September 23, 2024
Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration
Onur Boyar, Ichiro Takeuchi
Neural Computation
|
July 8, 2025
Crystal-LSBO: Automated Design of De Novo Crystals With Latent Space Bayesian Optimization
Onur Boyar, Yanheng Gu, Yuji Tanaka, et al.
Neural Computation
|
February 7, 2009
Nonparametric conditional density estimation using piecewise-linear solution path of kernel quantile regression
Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori
Neural Computation
|
October 28, 2021
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Neural Computation
|
October 25, 2002
Robust regression with asymmetric heavy-tail noise distributions
Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori
Neural Computation
|
October 16, 2019
Safe Triplet Screening for Distance Metric Learning
Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Neural Computation
|
August 16, 2020
Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives
Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, et al.
Neural Computation
|
October 16, 2023
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications
Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, et al.
Neural Computation
|
October 20, 2020
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions
Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Neural Computation
|
August 16, 2020
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation
Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Page
of 2