Kohei Miyaguchi

Orcid: 0000-0002-6702-7780

According to our database1, Kohei Miyaguchi authored at least 22 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Socially efficient mechanism on the minimum budget.
CoRR, 2024

Detection of Unobserved Common Causes based on NML Code in Discrete, Mixed, and Continuous Variables.
CoRR, 2024

2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies.
Proceedings of the International Conference on Machine Learning, 2023

2022
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology.
CoRR, 2022

A Theoretical Framework of Almost Hyperparameter-free Hyperparameter Selection Methods for Offline Policy Evaluation.
CoRR, 2022

Hierarchical Lattice Layer for Partially Monotone Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
PAC-Bayesian Transportation Bound.
CoRR, 2019

Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
High-dimensional penalty selection via minimum description length principle.
Mach. Learn., 2018

Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional ε<sub>1</sub>-Balls via Envelope Complexity.
CoRR, 2018

2017
Online detection of continuous changes in stochastic processes.
Int. J. Data Sci. Anal., 2017

Normalized Maximum Likelihood with Luckiness for Multivariate Normal Distributions.
CoRR, 2017

Sparse Graphical Modeling via Stochastic Complexity.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Detecting changes in streaming data with information-theoretic windowing.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Detecting gradual changes from data stream using MDL-change statistics.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
On-line detection of continuous changes in stochastic processes.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015


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