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06/19/2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
Identifying the relationship between healthcare attributes, lifestyles, ...
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10/31/2022
Diffusion models for missing value imputation in tabular data
Missing value imputation in machine learning is the task of estimating t...
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02/01/2022
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
There is a fundamental limitation in the prediction performance that a m...
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09/09/2021
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph
In cross-lingual text classification, it is required that task-specific ...
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01/05/2021
A Symmetric Loss Perspective of Reliable Machine Learning
When minimizing the empirical risk in binary classification, it is a com...
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11/18/2020
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective
The focal loss has demonstrated its effectiveness in many real-world app...
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10/22/2020
Classification with Rejection Based on Cost-sensitive Classification
The goal of classification with rejection is to avoid risky misclassific...
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10/20/2020
Robust Imitation Learning from Noisy Demonstrations
Learning from noisy demonstrations is a practical but highly challenging...
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04/14/2020
Learning from Aggregate Observations
We study the problem of learning from aggregate observations where super...
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03/10/2020
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time
The Gaussian process bandit is a problem in which we want to find a maxi...
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10/10/2019
Learning from Indirect Observations
Weakly-supervised learning is a paradigm for alleviating the scarcity of...
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10/10/2019
Learning Only from Relevant Keywords and Unlabeled Documents
We consider a document classification problem where document labels are ...
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07/24/2019
Classification from Triplet Comparison Data
Learning from triplet comparison data has been extensively studied in th...
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01/31/2019
Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization
We consider the semi-supervised ordinal regression problem, where unlabe...
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01/30/2019
On Possibility and Impossibility of Multiclass Classification with Rejection
We investigate the problem of multiclass classification with rejection, ...
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01/30/2019
Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation
We address the problem of measuring the difference between two domains i...
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01/27/2019
Imitation Learning from Imperfect Demonstration
Imitation learning (IL) aims to learn an optimal policy from demonstrati...
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01/27/2019
On Symmetric Losses for Learning from Corrupted Labels
This paper aims to provide a better understanding of a symmetric loss. F...
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09/19/2018