Kenji Fukumizu

Look Before You Leap: A Lookahead Reasoning Quality Gate for Speculative Decoding EACL 2026 Scalable Sobolev IPM for Probability Measures on a Graph ICML 2025 Flow matching achieves almost minimax optimal convergence ICLR 2025 Compositional simulation-based inference for time series ICLR 2025 Generalized Sobolev Transport for Probability Measures on a Graph ICML 2024 Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024 Neural-Kernel Conditional Mean Embeddings ICML 2024 Neural Fourier Transform: A General Approach to Equivariant Representation Learning ICLR 2024 Scalable Unbalanced Sobolev Transport for Measures on a Graph AISTATS 2023 Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network ICML 2023 Transfer Learning with Affine Model Transformation NIPS 2023 $\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap ICLR 2022 Unsupervised Learning of Equivariant Structure from Sequences NIPS 2022 Invariance Learning based on Label Hierarchy NIPS 2022 Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces JMLR 2022 Meta Learning for Causal Direction AAAI 2021 A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021 Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning ECCV 2020 Smoothness and Stability in GANs ICLR 2020 Robust Persistence Diagrams using Reproducing Kernels NIPS 2020 Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method AISTATS 2020 Tree-Sliced Variants of Wasserstein Distances NIPS 2019 Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator ICLR 2019 Deep Neural Networks Learn Non-Smooth Functions Effectively AISTATS 2019 Semi-flat minima and saddle points by embedding neural networks to overparameterization NIPS 2019 Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions EMNLP 2018 Post Selection Inference with Kernels AISTATS 2018 Variational Learning on Aggregate Outputs with Gaussian Processes NIPS 2018 Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor JMLR 2018 Kernel Recursive ABC: Point Estimation with Intractable Likelihood ICML 2018 Trimmed Density Ratio Estimation NIPS 2017 Density Estimation in Infinite Dimensional Exponential Families JMLR 2017 A Linear-Time Kernel Goodness-of-Fit Test NIPS 2017 Structure Learning of Partitioned Markov Networks ICML 2016 Convergence guarantees for kernel-based quadrature rules in misspecified settings NIPS 2016 Characteristic Kernels and Infinitely Divisible Distributions JMLR 2016 Kernel Mean Shrinkage Estimators JMLR 2016 Persistence weighted Gaussian kernel for topological data analysis ICML 2016 Kernel Mean Estimation and Stein Effect ICML 2014 Recovering Distributions from Gaussian RKHS Embeddings AISTATS 2014 Centering Similarity Measures to Reduce Hubs EMNLP 2013 Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013 Gradient-based kernel method for feature extraction and variable selection NIPS 2012 Optimal kernel choice for large-scale two-sample tests NIPS 2012 Learning from Distributions via Support Measure Machines NIPS 2012 Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint NIPS 2011 Kernel Bayes' Rule NIPS 2011 Learning low-rank output kernels ACML 2011 Universality, Characteristic Kernels and RKHS Embedding of Measures JMLR 2011 On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010 Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010 Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NIPS 2009 A Fast, Consistent Kernel Two-Sample Test NIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009 Characteristic Kernels on Groups and Semigroups NIPS 2008 Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007 Kernel Measures of Conditional Dependence NIPS 2007 A Kernel Statistical Test of Independence NIPS 2007 Kernels on Structured Objects Through Nested Histograms NIPS 2006 Semigroup Kernels on Measures JMLR 2005 Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces JMLR 2004