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Kohei Miyaguchi
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Journal Articles
- 2018
- [j2]Kohei Miyaguchi
, Kenji Yamanishi
:
High-dimensional penalty selection via minimum description length principle. Mach. Learn. 107(8-10): 1283-1302 (2018) - 2017
- [j1]Kohei Miyaguchi
, Kenji Yamanishi:
Online detection of continuous changes in stochastic processes. Int. J. Data Sci. Anal. 3(3): 213-229 (2017)
Conference and Workshop Papers
- 2024
- [c14]Kohei Miyaguchi:
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support. NeurIPS 2024 - 2023
- [c13]Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami:
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies. ICML 2023: 15567-15585 - 2022
- [c12]Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima:
Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle. IEEE Big Data 2022: 45-54 - [c11]Kohei Miyaguchi, Takayuki Katsuki, Akira Koseki, Toshiya Iwamori:
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion. ICLR 2022 - [c10]Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki:
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction. IJCAI 2022: 3861-3867 - [c9]Hiroki Yanagisawa, Kohei Miyaguchi, Takayuki Katsuki:
Hierarchical Lattice Layer for Partially Monotone Neural Networks. NeurIPS 2022 - 2021
- [c8]Kohei Miyaguchi:
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models. NeurIPS 2021: 28573-28584 - 2019
- [c7]Kohei Miyaguchi, Hiroshi Kajino:
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. AAAI 2019: 4594-4601 - [c6]Kohei Miyaguchi, Kenji Yamanishi:
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity. AISTATS 2019: 3440-3448 - 2017
- [c5]Ryoya Kaneko, Kohei Miyaguchi, Kenji Yamanishi
:
Detecting changes in streaming data with information-theoretic windowing. IEEE BigData 2017: 646-655 - [c4]Kohei Miyaguchi, Shin Matsushima, Kenji Yamanishi
:
Sparse Graphical Modeling via Stochastic Complexity. SDM 2017: 723-731 - 2016
- [c3]Kenji Yamanishi
, Kohei Miyaguchi:
Detecting gradual changes from data stream using MDL-change statistics. IEEE BigData 2016: 156-163 - [c2]Atsushi Suzuki, Kohei Miyaguchi, Kenji Yamanishi
:
Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding. ICDM 2016: 1221-1226 - 2015
- [c1]Kohei Miyaguchi, Kenji Yamanishi
:
On-line detection of continuous changes in stochastic processes. DSAA 2015: 1-9
Informal and Other Publications
- 2024
- [i9]Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima:
Detection of Unobserved Common Causes based on NML Code in Discrete, Mixed, and Continuous Variables. CoRR abs/2403.06499 (2024) - [i8]Hirota Kinoshita, Takayuki Osogami, Kohei Miyaguchi:
Socially efficient mechanism on the minimum budget. CoRR abs/2407.18515 (2024) - 2022
- [i7]Kohei Miyaguchi:
A Theoretical Framework of Almost Hyperparameter-free Hyperparameter Selection Methods for Offline Policy Evaluation. CoRR abs/2201.02300 (2022) - [i6]Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami:
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology. CoRR abs/2201.12163 (2022) - [i5]Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki:
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction. CoRR abs/2204.13451 (2022) - 2019
- [i4]Kohei Miyaguchi:
PAC-Bayesian Transportation Bound. CoRR abs/1905.13435 (2019) - 2018
- [i3]Kohei Miyaguchi, Kenji Yamanishi:
High-dimensional Penalty Selection via Minimum Description Length Principle. CoRR abs/1804.09904 (2018) - [i2]Kohei Miyaguchi, Kenji Yamanishi:
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional ε1-Balls via Envelope Complexity. CoRR abs/1810.03825 (2018) - 2017
- [i1]Kohei Miyaguchi:
Normalized Maximum Likelihood with Luckiness for Multivariate Normal Distributions. CoRR abs/1708.01861 (2017)
Coauthor Index
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