Tomoharu Iwata

MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions UAI 2026 Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations AISTATS 2025 Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation AISTATS 2025 K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes ICML 2025 Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems ICML 2025 Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion AISTATS 2025 Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression AISTATS 2025 Positive-unlabeled AUC Maximization under Covariate Shift ICML 2025 Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation ICLR 2025 AUC Maximization under Positive Distribution Shift NeurIPS 2024 Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers AISTATS 2024 Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NeurIPS 2024 Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024 Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics IJCAI 2024 Warped Diffusion for Latent Differentiation Inference AISTATS 2024 Zero-Shot Task Adaptation with Relevant Feature Information AAAI 2024 Meta-learning for Robust Anomaly Detection AISTATS 2023 Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NeurIPS 2022 Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022 Sharing Knowledge for Meta-learning with Feature Descriptions NeurIPS 2022 Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NeurIPS 2022 Context-aware Neural Machine Translation with Mini-batch Embedding EACL 2021 Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora EMNLP 2021 Loss function based second-order Jensen inequality and its application to particle variational inference NeurIPS 2021 Meta-Learning for Relative Density-Ratio Estimation NeurIPS 2021 Skew-symmetrically perturbed gradient flow for convex optimization ACML 2021 Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020 Disentangled Representations for Sequence Data using Information Bottleneck Principle ACML 2020 Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance ICML 2020 Meta-learning from Tasks with Heterogeneous Attribute Spaces NeurIPS 2020 Semi-Supervised Learning for Maximizing the Partial AUC AAAI 2020 Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data AAAI 2019 Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities AAAI 2019 Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NeurIPS 2019 Transfer Anomaly Detection by Inferring Latent Domain Representations NeurIPS 2019 Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations AAAI 2019 Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models ACL 2019 Variational Autoencoder with Implicit Optimal Priors AAAI 2019 Estimating Latent People Flow without Tracking Individuals IJCAI 2018 Semi-Supervised End-to-End Speech Recognition Interspeech 2018 Student-t Variational Autoencoder for Robust Density Estimation IJCAI 2018 Learning Latest Classifiers without Additional Labeled Data IJCAI 2017 Localized Lasso for High-Dimensional Regression AISTATS 2017 SVD-Based Screening for the Graphical Lasso IJCAI 2017 Identifying Key Observers to Find Popular Information in Advance IJCAI 2016 Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models NeurIPS 2016 Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NeurIPS 2015 Cross-domain recommendation without shared users or items by sharing latent vector distributions AISTATS 2015 Latent Support Measure Machines for Bag-of-Words Data Classification NeurIPS 2014 Active Learning for Interactive Visualization AISTATS 2013 Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information ACL 2013 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Learning Common Grammar from Multilingual Corpus ACL 2010 Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009