Kohei Miyaguchi

According to our database, Kohei Miyaguchi authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima

CoRR, 2024

2023

Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies.

Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami

Proceedings of the International Conference on Machine Learning, 2023

2022

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

Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami

CoRR, 2022

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

Kohei Miyaguchi

CoRR, 2022

Hierarchical Lattice Layer for Partially Monotone Neural Networks.

Hiroki Yanagisawa, Kohei Miyaguchi, Takayuki Katsuki

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.

Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion.

Kohei Miyaguchi, Takayuki Katsuki, Akira Koseki, Toshiya Iwamori

Proceedings of the Tenth International Conference on Learning Representations, 2022

Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle.

Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models.

Kohei Miyaguchi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

PAC-Bayesian Transportation Bound.

Kohei Miyaguchi

CoRR, 2019

Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity.

Kohei Miyaguchi, Kenji Yamanishi

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting.

Kohei Miyaguchi, Hiroshi Kajino

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

High-dimensional penalty selection via minimum description length principle.

Kohei Miyaguchi, Kenji Yamanishi

Mach. Learn., 2018

Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional ε₁-Balls via Envelope Complexity.

Kohei Miyaguchi, Kenji Yamanishi

CoRR, 2018

2017

Online detection of continuous changes in stochastic processes.

Kohei Miyaguchi, Kenji Yamanishi

Int. J. Data Sci. Anal., 2017

Normalized Maximum Likelihood with Luckiness for Multivariate Normal Distributions.

Kohei Miyaguchi

CoRR, 2017

Sparse Graphical Modeling via Stochastic Complexity.

Kohei Miyaguchi, Shin Matsushima, Kenji Yamanishi

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Detecting changes in streaming data with information-theoretic windowing.

Ryoya Kaneko, Kohei Miyaguchi, Kenji Yamanishi

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.

Atsushi Suzuki, Kohei Miyaguchi, Kenji Yamanishi

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Detecting gradual changes from data stream using MDL-change statistics.

Kenji Yamanishi, Kohei Miyaguchi

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

On-line detection of continuous changes in stochastic processes.

Kohei Miyaguchi, Kenji Yamanishi

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015