Journal Papers
Anomaly-Detection-Driven Screening of Thermodynamic Stability from Composition Descriptors Alone
The Journal of Physical Chemistry Letters, vol.17, no.7, pp.1937-1946, 2026.
Deep Learning Based SEM Image Analysis for Predicting Ionic Conductivity in LiZr2(PO4)3-Based Solid Electrolytes
Digital Discovery, vol.5, no.1, pp.453-462, 2026.
Causal Relationship Between Potential Shift and Molecular Structure in Concentrated Electrolytes
The Journal of Physical Chemistry B, vol.129, no.48, 2025.
Exploration of Nonlinear Optical Materials by Introducing Information Science
Journal of Materials Chemistry C, vol.13, no.45, 2025.
Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization
Transactions on Machine Learning Research, 2025.
Bayesian Optimization of Robustness Measures under Input Uncertainty: A Randomized Gaussian Process Upper Confidence Bound Approach
Transactions on Machine Learning Research, 2025.
Distributionally Robust Coreset Selection under Covariate Shift
Transactions on Machine Learning Research, 2025.
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound
Journal of Artificial Intelligence Research, vol.84, 2025.
Causal Analysis of Factors for Li Ionic Conductivity in Olivine-Type LiMXO4 Materials Using LiNGAM
The Journal of Physical Chemistry C, vol.129, no.2, pp.1035-1043, 2025.
Deep learning for predicting acute exacerbation and mortality of interstitial lung disease
Annals of the American Thoracic Society, vol.22, no.5, pp.689-697, 2025.
Deep learning based emulator for predicting voltage behaviour in lithium ion batteries
Scientific Reports, vol.14, 28905, 2024.
Prediction of Li-ion Conductivity in Ca and Si co-doped LiZr2(PO4)3 Using a Denoising Autoencoder for Experimental Data
APL Materials,, vol.12, no.11, 111120, 2024.
First-principles study on lithiation process of SiO anode for Li-ion batteries with Bayesian optimization
Physical Chemistry Chemical Physics, vol.26, no.43, pp.27561-27566, 2024.
Drawing a materials map with an autoencoder for lithium ionic conductors
Scientific Reports, vol.13, 16799, 2023.
Photoluminescence Color Prediction for Eu3+-doped Perovskite Red Phosphors using Machine Learning
Physica Status Solidi - Rapid Research Letters, 2300237, 2023.
Optimization of Force-Field Potential Parameters Using Conditional Variational Autoencoder
Science and Technology of Advanced Materials: Methods, vol.3, no.1, 2253713, 2023.
Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries
RSC Advances, vol.12, no.47, pp.30696-30703, 2022.
Machine-learning-based prediction of first-principles XANES spectra for amorphous materials
Physical Review Materials, vol.6, no.16, 115601, 2022.
Bayesian Optimization for Cascade-type Multistage Processes
Neural Computation, vol.34, no.12, pp.2408-2431, 2022.
Na Superionic Conductor-Type LiZr2(PO4)3 as a Promising Solid Electrolyte for Use in All-Solid-State Li Metal Batteries
Chemical Communications, vol.58, no.67, pp.9328-9340, 2022.
A Generalized Framework of Multi-fidelity Max-value Entropy Search through Joint Entropy
Neural Computation, vol.34, no.10, pp.2145-2203, 2022.
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation.
Annals of the Institute of Statistical Mathematics, 74, 1197–1228, 2022.
Chemical composition data‐driven machine‐learning prediction for phase stability and materials properties of inorganic crystalline solids.
physica status solidi (b) 2022.
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure.
Neural Computation, 33(12), 3413-3466, 2021.
Distance Metric Learning for Graph Structured Data.
Machine Learning vol.110, no.7, 1765-1811, 2021.
Stat-DSM: Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction.
IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 3, pp. 1477-1488, 2022.
An Efficient Experimental Search for Discovering a Fast Li Ion Conductor from Perovskite-type LixLa(1-x)/3NbO3 (LLNO) Solid State Electrolyte Using Bayesian Optimization.
The Journal of Physical Chemistry C: vol.125, no.1, pp.152-160, 2021.
Robust and efficient calculation of activation energy by automated path search and density functional theory.
Physical Review Materials: vol. 5, 033801 2021.
Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design.
Communication Biology 4, Article number: 362 2021.
Selective inference for high-order interaction features selected in a stepwise manner.
IPSJ Transactions on Bioinformatics: vol.14, pp.1-11 2021.
Prediction of formation energies of large-scale disordered systems via active-learning based executions of ab initio local-energy calculations: a case study on a Fe random grain boundary model with millions of atoms.
Physical Review Materials. vol.4, no.11, 113602, 2020.
Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling.
Physical Review Materials. vol.4, no.8, 083802, 2020.
Computational Design of Stable and Highly Ion-conductive Materials using Multi-objective Bayesian Optimization: Case Studies on Diffusion of Oxygen and Lithium.
Computational Materials Science. vol.184, 109927, 2020.
Adaptive Bayesian optimization for epitaxial growth of Si thin films under various constraints.
Materials Today Communication. vol.25, 101538, 2020 Dec.
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty
IEEE Access. vol.8, pp.203982-203993 ,2020 Nov.
Active learning for level set estimation under input uncertainty and its extensions.
Neural Computation: vol.32, pp.2486-2531, 2020 Dec.
Bayesian-optimization-guided Experimental Search of NASICON-type Solid Electrolytes for All-solid-state Li-ion Batteries.
Journal of Materials Chemistry A: vol.2020-8, pp.15103-15109, 2020 Jul.
Active Learning of Bayesian Linear Models with High Dimensional Binary Features by Parameter Confidence-Region Estimation.
Neural Computation: vol.32, pp.1998-2031, 2020 Oct.
Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives.
Neural Computation: vol.32, pp.2032-2068, 2020 Oct.
A Novel Sensitive Detection Method for DNA Methylation in Circulating Free DNA of Pancreatic Cancer.
Plos One: vol.15-6: e0233782, 2020 Jun.
A Sampling Strategy in Efficient Potential Energy Surface Mapping for Predicting Atomic Diffusivity in Crystals by Machine Learning.
Physical Review B: vol.101, pp.184117, 2020 May.
Exhaustive and Informatics-Aided Search for Fast Li-Ion Conductor with NASICON-Type Structure Using Material Simulation and Bayesian Optimization.
APL Materials: vol.8, 041112. Published Online: 2020 Apr.
Safe Triplet Screening for Distance Metric Learning.
Neural Computation, vol.31, no.12, pp.2432-2491, 2019 Dec.
Selective inference via marginal screening for high dimensional classification.
Japanese Journal of Statistics and Data Science, vol.2, no.2, pp.559-589, 2019 Dec.
Estimation of material parameters based on precipitate shape: efficient identification of low-error region with Gaussian process modeling.
Scientific Reports, vol.9, 15794, 2019 Oct.
Variable Selection for Nonparametric Learning with Power Series Kernels.
Neural Computation, vol.31, no.8, pp.1718-1750, 2019 Aug.
Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis.
Advanced Robotics, vol.33, pp.134-152, 2019 Jan.
Knowledge-transfer-based cost-effective search for interface structures: A case study on fcc-Al [110] tilt grain boundary.
Physical Review Materials, vol.2, 113802, 2018 Nov.
Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach.
Scientific Reports, vol.8, 15580, 2018 Oct.
Can AI predict animal movements? Filling gaps in animal trajectories using Inverse Reinforcement Learning.
Ecosphere, vol.9, no.10, e02447, 2018 Oct.
Bayesian-Driven First-Principles Calculations for Accelerating Exploration of Fast Ion Conductors for Rechargeable Battery Application.
Scientific Reports, vol.8, 5845, 2018 Apr.
Identification of CDC42BPG as a novel susceptibility locus for hyperuricemia in a Japanese population.
Molecular Genetics and Genomics, vol.293, no.2, pp.371-379, 2018 Apr.
Exploring a potential energy surface by machine learning for characterizing atomic transport.
Physical Review B, vol.97, 125124, 2018 Mar.
Prognostic relevance of genetic alterations in diffuse lower-grade gliomas.
Neuro-Oncology, vol.20, no.1, pp.66-77, 2018 Jan.
A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines.
Cell Systems, vol.5, no.5, pp.485-497, 2017 Nov.
Fast and scalable prediction of local energy at grain boundaries: machine-learning based modeling of first-principles calculations.
Modelling and Simulation in Materials Science and Engineering, vol.25, no.7, 075003, 2017 Aug.
Homotopy continuation approaches for robust SV classification and regression.
Machine Learning, vol.106, no.7, pp.1009-1038, 2017 Jul.
Exploring Phenotype Patterns of Breast Cancer within Somatic Mutations: A Modicum in the Intrinsic Code.
Briefings in Bioinformatics, vol.18, no.4, pp.619-633, 2017 Jul.
Obesity-related changes in clinical parameters and conditions in a longitudinal population-based epidemiological study.
Obesity Research and Clinical Practice, vol.11, no.3, pp.299-314, 2017 May-Jun.
Adaptive Edge Weighting for Graph-Based Learning Algorithms.
Machine Learning, vol.106, no.2, pp.307-335, 2017 Feb.
SGO1 is involved in the DNA damage response in MYCN-amplified neuroblastoma cells.
Scientific Reports, vol.6, 31615, 2016 Aug.
Genomic loss of DUSP4 contributes to the progression of intraepithelial neoplasm of pancreas to invasive carcinoma.
Cancer Research, vol.76, no.9, pp.2612-2625, 2016 May.
Machine-learning-based selective sampling procedure for identifying the low-energy region in a potential energy surface: A case study on proton conduction in oxides.
Physical Review B, vol.93, 054112, 2016 Feb.
Downregulation of NDUFB6 due to 9p24.1-p13.3 loss is implicated in metastatic clear cell renal cell carcinoma.
Cancer Medicine, vol.4, pp.112-124, 2015 Jan.
Assessment of tumor cells in a mouse model of diffuse infiltrative glioma by Raman spectroscopy.
BioMed Research International, vol.2014, 860241, 2014 Aug.
Characterization of time-course morphological features for efficient prediction of osteogenic potential in human mesenchymal stem cells.
Biotechnology and Bioengineering, vol.111, no.7, pp.1430-1439, 2014 Jul.
Clonal heterogeneity of lymphoid malignancies correlates with poor prognosis.
Cancer Science, vol.105, no.7, pp.897-904, 2014 Jul.
Label-free morphology-based prediction of multiple differentiation potentials of human mesenchymal stem cells for early evaluation of intact cells.
PLoS ONE, vol.9, no.4, e93952, 2014 Apr.
Quantitative analysis of time-course development of motion sickness by in-vehicle video watching.
Display, vol.35, no.2, pp.90-97, 2014 Apr.
Array CGH profiling of immunohistochemical subgroups of diffuse large B-cell lymphoma shows distinct genomic alterations.
Cancer Science, vol.105. no.4, pp.481-489, 2014 Apr.
Inactivation of SMC2 shows a synergistic lethal response in MYCN-amplified neuroblastoma cells.
Cell Cycle, vol.13, no.7, pp.1-17, 2014 Apr.
Expression of proteins associated with adipocyte lipolysis was significantly changed in the adipose tissues of the obese spontaneously hypertensive/NDmcr-cp rat.
Diabetology & Metabolic Syndrome, vol.6, no.1, pp.1-9, 2014 Jan.
Discovering Combinatorial Interactions in Survival Data.
Bioinformatics, vol.29, no.23, pp.3053-3059, 2013 Dec.
Density-Difference Estimation.
Neural Computation, vol.25, no.10, pp.2734-2775, 2013 Oct.
Chromatin regulator PRC2 is a key regulator of epigenetic plasticity in glioblastoma.
Cancer Research, vol.73, no.14, pp.4559-4570, 2013 Jul.
Morphology-based prediction of osteogenic differentiation potential of human mesenchymal stem cells.
PLoS ONE, vol.8, no.2, e55082, 2013 Feb.
Genomic profiling of oral squamous cell carcinoma by array-based comparative genomic hybridization.
PLoS ONE, vol.8, no.2, e56165, 2013 Feb.
Multi-parametric Solution-path Algorithm for Instance-weighted Support Vector Machines.
Machine Learning, vol.88, no.3, pp.297-330, 2012 Sep.
Altered gene and protein expression in liver of the obese spontaneously hypertensive/NDmcr-cp rat.
Nutrition and Metabolism, vol.9, 87, 2012 Sep.
Integrated analysis of genetic and epigenetic alterations reveals CpG island methylator phenotype associated with distinct clinical characters of lung adenocarcinoma.
Carcinogenesis, vol.33, no.7, pp.1277-1285, 2012 Jul.
Aberrant DNA methylation associated with aggressiveness of gastrointestinal stromal tumor.
Gut, vol.61, no.3, pp.392-401, 2012 Mar.
Epigenetic subclassification of meningiomas based on genome-wide DNA methylation analyses.
Carcinogenesis, vol.32, no.2, pp.436-441, 2012 Feb.
Downregulation of SAV1 plays a role in pathogenesis of high-grade clear cell renal cell carcinoma.
BMC Cancer, vol.11, 523, 2011 Dec.
Nonlinear Regularization Path for Quadratic Loss Support Vector Machines.
IEEE Transactions on Neural Networks, vol.22, no.10, pp.1613-1625, 2011 Oct.
Identification of FOXO3 and PRDM1 as tumor suppressor gene candidates in NK cell neoplasms by genomic and functional analyses.
Blood, vol.118, no.12, pp.3195-3204, 2011 Sep.
Genomic profiling of submucosal-invasive gastric cancer by array-based comparative genomic hybridization.
PLoS ONE, vol.6, no.7, e22313, 2011 Jul.
NeuroD1 Downregulates Slit2 Expression and Promotes Cell Motility and Tumor Formation of Neuroblastoma.
Cancer Research, vol.71, no.8, pp.2938-2948, 2011 Apr.
Distinct Profiles of Epigenetic Evolution between Colorectal Cancers with and without Metastasis.
American Journal of Pathology, vol.178, no.4, pp.1835-1846, 2011 Mar.
Differentially Aberrant Region Detection in Array CGH Data based on Nearest Neighbor Classification Performance.
IPSJ Transactions on Bioinformatics, vol.3, pp.70-81, 2010 Oct.
Multiple Incremental Decremental Learning of Support Vector Machines.
IEEE Transactions on Neural Networks, vol.21, no.7, pp.1048-1059, 2010 Jun.
Genomic profiling of gastric carcinoma in situ and adenomas by array-based comparative genomic hybridization.
Journal of Pathology, vol.221, no.1, pp.96-105, 2010 May.
Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method.
Neural Networks, vol.23, no.3, pp.356-364, 2010 Apr.
Least-Squares Conditional Density Estimation.
IEICE Transactions on Information and Systems, vol.E93-D, no.3, pp.583-594, 2010 Mar.
Efficient leave-m-out cross-validation of support vector regression by generalizing decremantal algorithm.
New Generation Computing, vol.27, no.4, pp.307-318, 2009 Nov.
A density-ratio framework for statistical data processing.
IPSJ Transactions on Computer Vision and Applications, vol.1, pp.183-208, 2009 Sep.
Adaptive kernel quantile regression for anomaly detection.
Journal of Advanced Computational Intelligence and Inteligent Informatics, vol.13, no.3, pp.230-236, 2009 Feb.
Nonparametric conditional density estimation using piecewise-linear solution path of kernel quantile regression.
Neural Computation, vol.21, no.2, pp.533-559, 2009 Feb.
Array comparative genomic hybridization analysis of PTCL-U reveals a distinct subgroup with genetic alterations similar to lymphoma-type adult T-cell leukemia/lymphoma.
Clinical Cancer Research, vol.15, pp.30-38, 2009 Jan.
The potential of copy number gains and losses, detected by array-based comparative genomic hybridization, for computational differential diagnosis of B-cell lymphomas and genetic regions involved in lymphomagenesis.
Haematologica-The Hematology Journal, vol.94, pp.61-69, 2009 Jan.
Genome-wide analysis of DNA copy number alterations and gene expression in gastric cancer.
Journal of Pathology, vol.216, no.4, pp.471-82, 2008 Dec.
High-resolution analysis of DNA copy number alterations and gene expression in renal clear cell carcinoma.
Journal of Pathology, vol.213, pp.392-401, 2007 Dec.
Chromosomal Imbalances are associated with outcome of helicobacter pylori eradication in t(11;18) (q21;q21) negative gastric mucosa-associated lymphoid tissue lymphomas.
Genes Chromosomes and Cancer, vol.46, pp.784-790, 2007 Aug.
Nonparametric quantile estimation.
Journal of Machine Learning Research, vol.7, pp.1231-1264, 2006 Dec.
Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions.
Computational Statistics and Data Analysis, vol.50, pp.3605-3618, 2006 Aug.
Robust regression with asymmetric heavy-tail noise distributions.
Neural Computation, vol.14, pp.2469-2496, 2002 Oct.
Modeling for dynamic systems with fuzzy sequential knowledge.
Studies in Fuzziness and Soft Computing, vol.59, pp.104-120, 2001.
Modeling of sensory/motor systems for autonomous agents.
Journal of Artificial Life and Robotics, vol.4, pp.84-88, 2000.
Acquisition of manipulative grounded symbols for integration of symbolic processing and stimulus-reaction type parallel processing.
The International Journal of the Robotics Society of Japan, vol.12, pp.271-287, 1997.
Conference Papers
Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space
Proceedings of the 31th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2025), pp.1025-1036, 2025. (acceptance rate 0.18)
Distributionally Robust Active Learning for Gaussian Process Regression
Proceedings of The 42nd International Conference on Machine Learning (ICML 2025), PMLR 267:58339-58358, 2025. (acceptance rate 0.27)
Pareto-frontier Entropy Search with Variational Lower Bound Maximization
Proceedings of The 42th International Conference on Machine Learning (ICML 2025), PMLR 267:26490-26522, 2025. (acceptance rate 0.27)
No-Regret Bayesian Optimization with Stochastic Observation Failures.
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS2025), PMLR 258:415-423, 2025. (acceptance rate 0.31)
Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute
Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024), pp.2830-2841, 2024. (acceptance rate < 0.20)
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds.
Proceedings of The 41th International Conference on Machine Learning (ICML2024), PMLR 235, 47510-47534, 2024. (acceptance rate 0.28)
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty.
The 27th International Conference on Artificial Intelligence and Statistics (AISTATS2024), PMLR 238, 4564-4572, 2024. (acceptance rate 0.28)
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum.
The 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), PMLR 238:1252-1260, 2024. (acceptance rate 0.28)
Multi-objective Bayesian Optimization with Active Preference Learning.
The 38th AAAI Conference on Artificial Intelligence (AAAI 2024), 38(13), 14490-14498, 2024. (acceptance rate 0.23)
Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds.
Proceedings of The 40th International Conference on Machine Learning (ICML 2023), PMLR 202:33490-33515, 2023. (acceptance rate 0.27)
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes.
Proceedings of The 40th International Conference on Machine Learning (ICML 2023), PMLR 202:33516-33533, 2023. (acceptance rate 0.27)
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets.
Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), PMLR 206:6463-6497, 2023. (acceptance rate 0.29)
Preferential Bayesian Optimization with Hallucination Believer.
NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2022.
Bayesian Optimization for Distributionally Robust Chance-constrained Problem.
Proceedings of International Conference on Machine Learning 2022 (ICML2022), 2022, July. (acceptance rate 0.22)
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound.
Proceedings of International Conference on Machine Learning 2022 (ICML2022), 2022, July. (acceptance rate 0.22)
Detection of DLBCL regions in H&E stained whole slide pathology images using Bayesian U-Net.
Proceedings Volume 11792, International Forum on Medical Imaging in Asia 2021; 1179203 , 2021.
Stain transfer for automatic annotation of malignant lymphoma regions in H&E stained whole slide histopathology images.
Proceedings Volume 11792, International Forum on Medical Imaging in Asia 2021; 117920R , 2021.
Parametric Programming Approach for More Powerful and General Lasso Selective Inference.
The 24th International Conference on Artifical Intelligence and Statistics (AISTATS2021), 2021 Apr. (acceptance rate 0.30)
Mean-Variance Analysis in Bayesian Optimization under Uncertainty.
The 24th International Conference on Artifical Intelligence and Statistics (AISTATS2021), 2021 Apr. (acceptance rate 0.30)
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method.
Proceedings of International Conference on Machine Learning 2021 (ICML2021), 2021, Jul. (acceptance rate 0.21)
Active Learning for Distributionally Robust Level-Set Estimation.
Proceedings of International Conference on Machine Learning 2021 (ICML2021), 2021 Jul. (acceptance rate 0.21)
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming.
Proceedings of 34th Conference on Neural Information Processing Systems (NeurIPS2020), 2020 Dec. (acceptance rate 0.20)
Multi-objective Bayesian Optimization using Pareto-frontier Entropy.
Proceedings of the 37th International Conference on Machine Learning (ICML 2020), 2020 Jul. (acceptance rate 0.22)
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization.
Proceedings of the 37th International Conference on Machine Learning (ICML 2020), 2020 Jul. (acceptance rate 0.22)
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020 Jun. (acceptance rate 0.22)
Computing Valid P-Values for Image Segmentation by Selective Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020 Jun. (acceptance rate 0.22)
Computing Full Conformal Prediction Set with Approximate Homotopy.
Proceedings of the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), pp.1386-1395, 2019 Dec. (acceptance rate 0.21)
Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2019), pp.548-551, 2019 Nov. (acceptance rate 0.20)
Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), pp.1026-1036, 2019 Aug. (acceptance rate 0.15)
Safe Grid Search with Optimal Complexity.
Proceedings of the 36th International Conference on Machine Learning (ICML 2019), vol.97, pp.4771-4780, 2019 Jun. (acceptance rate 0.23)
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator.
Proceedings of the 7th International Conference on Learning Representations (ICLR 2019), 2019 May. (acceptance rate 0.31)
Safe triplet screening for distance metric learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), pp.2653-2662, 2018 Aug. (acceptance rate 0.18)
Finding Discriminative Animal Behaviors from Sequential Bio-logging Trajectory Data.
Proceedings of the 6th International Conference on Distributed, Ambient and Pervasive Interactions (DAPI 2018), vol.2, pp.125-138, 2018 Jul.
Post Selection Inference with Kernels.
Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), vol.84, pp.152-160, 2018 Apr. (acceptance rate 0.33)
Factor Analysis on a Graph.
Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), vol.84, pp.1117-1126, 2018 Apr. (acceptance rate 0.33)
Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment.
Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), pp.1314-1321, 2018 Feb. (acceptance rate 0.25)
Selective Inference for Sparse High-Order Interaction Models.
Proceedings of the 34th International Conference on Machine Learning (ICML 2017), vol.70, pp.3338-3347, 2017 Aug. (acceptance rate 0.27)
Privacy-preserving and optimal interval release for disease susceptibility.
Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security (ASIA CCS 2017), pp.532-545, 2017 Apr.
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization.
Proceedings of the 8th Asian Conference on Machine Learning (ACML 2016), pp.126-141, 2016 Nov. (acceptance rate 0.24)
Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining.
Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), pp.1785-1794, 2016 Aug. (acceptance rate 0.18)
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling.
Proceedings of the 33rd International Conference on Machine Learning (ICML 2016), vol.48, pp.1577-1586, 2016 Jun. (acceptance rate 0.24)
Regularization Path of Cross-Validation Error Lower Bounds.
Proceedings of the 29th Annual Conference on Neural Information Processing Systems (NeurIPS 2015), pp.1675-1683, 2015 Dec. (acceptance rate 0.22)
Quick sensitivity analysis for incremental data modification and its application to leave-one-out CV in linear classification problems.
Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), pp.885-894, 2015 Aug. (acceptance rate 0.19)
Outlier Path: A Homotopy Algorithm for Robust SVM.
Proceedings of the 31st International Conference on Machine Learning (ICML 2014), vol.32, no.2, pp.1098-1106, 2014 Jun. (acceptance rate 0.25)
Parametric Task Learning.
Proceedings of the 27th Annual Conference on Neural Information Processing Systems (NeurIPS 2013), pp.1358-1366, 2013 Dec. (acceptance rate 0.25)
Global solver and its efficient approximation for variational bayesian low-rank subspace clustering.
Proceedings of the 27th Annual Conference on Neural Information Processing Systems (NeurIPS 2013), pp.1439-1447, 2013 Dec. (acceptance rate 0.25)
Safe screening of non-support vectors in pathwise SVM computation.
Proceedings of the 30th International Conference on Machine Learning (ICML 2013), vol.28, no.3, pp.1382-1390, 2013 Jun. (acceptance rate 0.27)
Infinitesimal annealing for training semi-supervised support vector machines.
Proceedings of the 30th International Conference on Machine Learning (ICML 2013), vol.28, no.3, pp.897-905, 2013 Jun. (acceptance rate 0.27)
Density-Difference Estimation.
Proceedings of the 26th Annual Conference on Neural Information Processing Systems (NeurIPS 2012), pp.683-691, 2012 Dec. (acceptance rate 0.25)
Target neighbor consistent feature weighting for nearest neighbor classification.
Proceedings of the 25th Annual Conference on Neural Information Processing Systems (NeurIPS 2011), pp.576-584, 2011 Dec. (acceptance rate 0.22)
Multi-parametric solution-path algorithm for instance-weighted support vector machines.
Proceedings of 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011), 2011 Sep.
Suboptimal solution path algorithm for support vector machine.
Proceedings of the 28th International Conference on Machine Learning (ICML 2011), pp.473-480, 2011 Jun. (acceptance rate 0.26)
Nonlinear regularization path for the support vector machines with the quadratic loss function.
Proceedings of 2010 International Joint Conference on Neural Networks (IJCNN 2010), pp.3099-3106, 2010 Jul.
Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test.
Proceedings of 2010 International Joint Conference on Neural Networks (IJCNN 2010), pp.1547-1554, 2010 Jul.
Conditional density estimation via least-squares density ratio estimation.
Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS 2010), vol.9, pp.781-788, 2010 May.
Multiple incremental decremental learning of support vector machine.
Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NeurIPS 2009), pp.907-915, 2009 Dec. (acceptance rate 0.24)
Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation.
Proceedings of the 16th International Conference on Neural Information Processing (ICONIP 2009), LNCS 5863, pp 159-166, 2009 Dec.
A Bayesian Graph Clustering Approach Using Degree Distribution Prior.
Proceedings of the 16th International Conference on Neural Information Processing (ICONIP 2009), LNCS 5863, pp.167-174, 2009 Dec.
Metric Learning for DNA microarray data analysis.
Proceedings of International Workshop on Statistical-Mechanical Informatics 2009 (IW-SMI 2009), vol.197, no.1, 012008, 2009 Sep.
Statistical significance analysis of gene groups using nearest-neighbor classification performance.
Proceedings of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2008), pp.1989-1994, 2008 Sep.
Adaptive kernel quantile regression for anomaly detection of time series.
Proceedings of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2008), pp.1831-1836, 2008 Sep.
Reducing SVR support vectors by using backward deletion.
Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2008), LNAI 5179, pp.76-83, 2008 Sep.
The entire solution path of kernel-based nonparametric conditional quantile estimator.
Proceedings of 2006 International Joint Conference on Neural Networks (IJCNN 2006), pp.153-158, 2006 Jul.
Estimator for conditional expectations under asymmetric and heterocedastic error distribution.
Proceedings of the International Symposium on the Art of Statistical Metaware, pp.312-313, 2005 Mar.
Non-crossing quantile regression by SVM.
Proceedings of 2004 International Joint Conference on Neural Networks (IJCNN 2004), pp.401-406, 2004 Jul.
Robust regression under asymmetric or/and non-constant variance error by simultaneously training conditional quantiles.
Proceedings of 2003 International Joint Conference on Neural Networks (IJCNN 2003), pp.1729-1734, 2003 Jul.
The challenge of non-linear regression on large datasets with asymmetric heavy tail.
Proceedings of 2002 Joint Statistical Meetings (JSM 2002), pp.193-205, 2002 Aug.
Estimating car insurance premia: a case study in high-dimensional data inference.
Proceedings of the 15th Annual Conference on Neural Information Processing Systems (NeurIPS 2001), pp.1369-1376, 2001 Dec.
A study on fuzzy modeling for dynamic characteristic.
Proceedings of 1999 IEEE International Conference on Systems, Man and Cybernetics, vol.3, pp.34-39, 1999 Oct.
A proposal of fuzzy modeling for dynamic characteristics in state-space description.
Proceedings of 1999 IEEE International Conference on Fuzzy Systems, vol.2, pp.807-812, 1999 Aug.
Integration of symbolic processing and parallel distributed processing by acquisition of manipulative grounded symbol.
Proceedings of 1998 World Automation Congress, pp.126.1-126.6, 1998 May.
Self-organization of grounded symbols for fusions of symbolic processing and parallel distribted processing.
Proceedings of 1998 IEEE International Conference on Fuzzy Systems, pp.715-720, 1998 May.
A proposal of architecture for intelligent systems with manipulative grounded symbol.
Proceedings of the 2nd International Conference on Knowledge-Based Intelligent Electronic Systems (KES 1998), pp.325-330, 1998 Apr.
A proposal of self-organizing network for acquisition of vague concept.
Proceedings of 1996 Asian Fuzzy System Symposium (AFSS 1996), pp.85-90, 1996 Dec.
A self-organizing network for acquisition of vague concept.
Proceedings of 1996 Asia-Pacific Conference on Simulated Evolution and Learning (SEAL 1996), pp.473-480, 1996 Nov.
Domestic Presentations (Japanese)
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Graph Prediction Models with High Discriminability and Interpretability by Combining Deep Neural Networks and Graph Mining, IBIS2025, November 2025
Taiga Kojima, Masayuki Karasuyama -
Information-Theoretic Bayesian Optimization for Bi-level Optimization Problems, IBIS2025, November 2025
Takuya Kanayama, Yuki Ito, Tomoyuki Tamura, Masayuki Karasuyama