2025
CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables.
CoRR, April, 2025
2024
Marginal Probability-Based Integer Handling for CMA-ES Tackling Single- and Multi-Objective Mixed-Integer Black-Box Optimization.
ACM Trans. Evol. Learn. Optim., June, 2024
HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network.
Knowl. Based Syst., 2024
An Efficient Bayes Coding Algorithm for Changing Context Tree Model.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024
Meta-Bound on Lower Bounds of Bayes Risk in Parameter Estimation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024
CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Bandits with Abstention under Expert Advice.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
An Upper Bound of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Source Coding Under Logarithmic Loss.
Proceedings of the International Symposium on Information Theory and Its Applications, 2024
Soft Guessing Under Log-Loss Distortion Allowing Errors.
Proceedings of the IEEE International Symposium on Information Theory, 2024
CMA-ES for Safe Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
CatCMA : Stochastic Optimization for Mixed-Category Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
2023
Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression.
IEEE Trans. Inf. Theory, April, 2023
Generalizing p-Laplacian: spectral hypergraph theory and a partitioning algorithm.
Mach. Learn., January, 2023
Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes.
CoRR, 2023
Hyperparameter Learning of Bayesian Context Tree Models.
Proceedings of the IEEE International Symposium on Information Theory, 2023
Multi-class Graph Clustering via Approximated Effective p-Resistance.
Proceedings of the International Conference on Machine Learning, 2023
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023
2022
Upper Bound on Privacy-Utility Tradeoff Allowing Positive Excess Distortion Probability.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022
Probability Distribution on Full Rooted Trees.
Entropy, 2022
CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization.
CoRR, 2022
Bayes Optimal Estimation and Its Approximation Algorithm for Difference with and without Treatment under URLC Model.
Proceedings of the International Symposium on Information Theory and Its Applications, 2022
On Meta-Bound for Lower Bounds of Bayes Risk.
Proceedings of the IEEE International Symposium on Information Theory, 2022
Probability Distribution on Rooted Trees.
Proceedings of the IEEE International Symposium on Information Theory, 2022
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing.
Proceedings of the IEEE Globecom 2022 Workshops, 2022
Benchmarking CMA-ES with margin on the bbob-mixint testbed.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction.
Entropy, 2021
An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval.
Proceedings of the IEEE Information Theory Workshop, 2021
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example.
Proceedings of the IEEE International Symposium on Information Theory, 2021
2020
On Two Information Quantities Relating Two Distortion Balls.
Proceedings of the International Symposium on Information Theory and Its Applications, 2020
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code.
Proceedings of the IEEE International Symposium on Information Theory, 2020
2019
Variable-Length Intrinsic Randomness on Two Performance Criteria Based on Variational Distance.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019
Optimization of H0 Photonic Crystal Nanocavity using Neural Network.
Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019
Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization.
Proceedings of the Advances in Visual Computing, 2019
Non-Asymptotic Fundamental Limits of Guessing Subject to Distortion.
Proceedings of the IEEE International Symposium on Information Theory, 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search.
Proceedings of the 36th International Conference on Machine Learning, 2019
Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2018
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network.
CoRR, 2018
Non-Asymptotic and Asymptotic Fundamental Limits of Guessing Subject to Distortion.
CoRR, 2018
Variable-Length Intrinsic Randomness Allowing Positive Value of the Average Variational Distance.
Proceedings of the International Symposium on Information Theory and Its Applications, 2018
New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities.
Proceedings of the International Symposium on Information Theory and Its Applications, 2018
Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression Allowing Positive Excess Distortion Probability.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Embedded feature selection using probabilistic model-based optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Bayesian Independent Component Analysis under Hierarchical Model on Independent Components.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
Hypergraph p-Laplacian: A Differential Geometry View.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
A Theoretical Framework for Estimating False Acceptance Rate of PRNU-Based Camera Identification.
IEEE Trans. Inf. Forensics Secur., 2017
Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017
Detecting Motor Learning-Related fNIRS Activity by Applying Removal of Systemic Interferences.
IEICE Trans. Inf. Syst., 2017
Spatially "Mt. Fuji" Coupled LDPC Codes.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017
Variable-length lossy compression allowing positive overflow and excess distortion probabilities.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
2016
Threshold of Overflow Probability Using Smooth Max-Entropy in Lossless Fixed-to-Variable Length Source Coding for General Sources.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016
Second-Order Achievable Rate Region of Slepian-Wolf Coding Problem in terms of Smooth Max-Entropy for General Sources.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016
Threshold of overflow probability in terms of smooth max-entropy for variable-length compression allowing errors.
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016
2015
Early detection of persistent topics in social networks.
Soc. Netw. Anal. Min., 2015
Evaluation of the Bayes Code from Viewpoints of the Distribution of Its Codeword Lengths.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015
Fundamental limit and pointwise asymptotics of the Bayes code for Markov sources.
Proceedings of the IEEE International Symposium on Information Theory, 2015
2014
Evaluation of the minimum overflow threshold of bayes codes for a Markov source.
Proceedings of the International Symposium on Information Theory and its Applications, 2014
2012
Simple analog motion detection circuit using CCD camera based on the biological vision system.
Proceedings of the International Symposium on Communications and Information Technologies, 2012