#Papers
#Preprint
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A multivariate adaptation of direct kernel estimation of density ratio
arXiv: November 2023
in preparation for resubmission
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A stochastic optimization approach to train non-linear neural networks with regularization of higher-order total variation
arXiv: August 2023
in preparation for resubmission
https://doi.org/10.48550/arXiv.2308.02293
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A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates
2024
in preparation for resubmission
#Journal
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Minimizing robust density power-based divergences for general parametric density models
Annals of the Institute of Statistical Mathematics
2024
https://doi.org/10.48550/arXiv.2307.05251
Video in English and in Japanese
oknakfm/DPD, R package: oknakfm/sgdpd
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An interpretable neural network-based non-proportional odds model for ordinal regression
Journal of Computational and Graphical Statistics
2024
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Autoregressive with Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series
IEEE Access
2024
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Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression
Electronic Journal of Statistics
2024
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A generalization gap estimation for overparameterized models via the Langevin functional variance
Journal of Computational and Graphical Statistics
2023
https://doi.org/10.1080/10618600.2023.2197488
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Finding r-II sibling stars in the Milky Way with the Greedy Optimistic Clustering algorithm
Astrophysical Journal
2023
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Dependence of variance on covariate design in nonparametric link regression
Statistics and Probability Letters
2023
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Hyperlink Regression via Bregman Divergence
Neural Networks
2020
#Conference
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Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate
Advances in Neural Information Processing Systems (NeurIPS)
2020
https://papers.nips.cc/paper/2020/hash/f9028faec74be6ec9b852b0a542e2f39-Abstract.html
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Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI)
2019
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Robust Graph Embedding with Noisy Link Weights
22nd International Conference on Artificial Intelligence and Statistics (AISTATS)
2019
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Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
22nd International Conference on Artificial Intelligence and Statistics (AISTATS)
2019
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A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks
35th International Conference on Machine Learning (ICML)
2018
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Image and tag retrieval by leveraging image-group links with multi-domain graph embeddings
Proceedings of the 2016 IEEE International Conference on Image Processing (ICIP)
2016
#Miscellaneous
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Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction
arXiv: December 2021
left as is
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Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization
arXiv: May 2020
left as is
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On representation power of neural network-based graph embedding and beyond
ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models (TADGM)
2018
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Deep Multi-view Representation Learning Based on Adaptive Weighted Similarity
International Workshop on Symbolic-Neural Learning (SNL)
2017
#論文解説
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論文解説：一般の確率モデルでの冪密度ダイバージェンス最小化
Jxiv
2024
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論文解説：可逆関数推定の難しさ - 生成モデルを念頭に
Jxiv
2024
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論文解説：順序回帰における柔軟性とドメイン制約のトレードオフ
Jxiv
2023
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論文解説：WAIC による過剰パラメータモデルの汎化誤差推定
Jxiv
2023
#国内会議論文/レター
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マルチスケールk-近傍法における回帰関数および損失関数の検討
人工知能学会全国大会論文集
2021
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マルチスケールk-近傍法による画像のExtreme Multi-Label分類
人工知能学会全国大会論文集
2021
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グラフと近傍グラフの確率的同時埋め込みを用いたマルチモーダル関連性データの可視化
人工知能学会全国大会論文集
2020
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擬ユークリッド空間への単語埋め込み
言語処理学会第25回年次大会論文集
2019
http://www.anlp.jp/proceedings/annual_meeting/2019/pdf_dir/P7-4.pdf
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マッチング相関分析を用いた画像-マルチタグ間の相互検索
電子情報通信学会和文論文誌D: 研究速報(レター)
2016
#Presentations
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A stochastic optimization approach to minimize robust density power-based divergences for general parametric density models
ISI-ISM-ISSAS meeting
Kolkata, India
Dec. 2023
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Optimal nonparametric classification via radial distance
CMStatistics
Berlin, Germany
Dec. 2023
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Estimation with integral-based loss functions
International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data
Tsukuba, Japan
Dec. 2023
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Minimax Analysis for Inverse Risk in Nonparametric Invertible Regression
The 6th RIKEN-IMI-ISM-NUS-ZIB-MODAL-NHR Workshop on Advances in Classical and Quantum Algorithms for Optimization and Machine Learning
Fukuoka, Japan
Sep. 2022
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A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates
JJSM2022 JSS-KSS-CSA Joint Session (3):Machine Learning
Online
Sep. 2022
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A generalization gap estimation for overparameterized models via the Langevin functional variance
Workshop on Functional Inference and Machine Intelligence
Online
Mar. 2022
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Estimation of Invertible Functions
ISI-ISM-ISSAS meeting
Online
Jan. 2022
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Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression
CMStatistics
Online
Dec. 2021
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On estimating generalization gaps via the functional variance in overparameterized model
CMStatistics
Online
Dec. 2021
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Nonparametric Link Regression and Its Theoretical Properties
EcoSta
Online
Jun. 2021
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Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate
NeurIPS meetup in Japan
Online
Dec. 2020
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Bregman Hyperlink Regression and Its Expressive Power
ACML 2019 Workshop on Statistics and Machine Learning Researchers in Japan
Nagoya, Japan
Nov. 2019
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Hyperlink Regression via Bregman Divergence
RIKEN-AIP workshop
Genoa, Italy
Sep. 2019
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Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
Workshop on Functional Inference and Machine Intelligence
Tokyo, Japan
Mar. 2019
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Leveraging local data structure for multi-view analysis with many-to-many associations
Conference of the International Federation of Classification Societies (IFCS)
Tokyo, Japan
Aug. 2017
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Statistical consistency of multi-view correlation analysis with many-to-many association
Joint Statistical Meeting (JSM)
Baltimore, USA
Aug. 2017
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Robust Multi-view Graph Embedding
International Conference on Robust Statistics (ICoRS)
Wollongong, Australia
Jul. 2017
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Robust cross-domain matching: Analyzing multi-domain data vectors under mismatched association
Machine Learning Summer School
Kyoto, Japan
Aug. 2015
#Awards
- Excellent Presentation Award (in the top 3~6/200), IBIS2023, 2023.
- Excellent Presentation Award (in the top 5~7/238), IBIS2019, 2019.
- Excellent Research Award, ICT-13@Kyoto University, 2019.
#Social
- PC member of SNL2024.
- PC member of IBIS2022.
- Conference reviewer of AISTATS (2019, 2021), ICML (2019-2022), ACML (2019, 2021, 2023), AAAI (2020), IJCAI (2022), BMVC (2020), NeurIPS (2020), UAI (2024).
- Journal reviewer of Machine Learning, Neural Networks, Electronic Journal of Statistics, Japanese Journal of Statistics and Data Science, Statistics and Computing, Advanced Robotics, Annals of the Institute of Statistical Mathematics.
- A member of deep Jinbo-cho study group.
- A regular member of the Japan Statistical Society.