Kenji Fukumizu
61 papers · 2004–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 18 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Kenji Fukumizu?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Arthur Gretton, Bharath K. Sriperumbudur, Bernhard Schölkopf
27 papers
· 2004–2024
· NeurIPS, JMLR, ICML
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Neural-Kernel Conditional Mean Embeddings
ICML 2024
Meta Learning for Causal Direction
AAAI 2021
Robust Persistence Diagrams using Reproducing Kernels
NeurIPS 2020
Kernel Recursive ABC: Point Estimation with Intractable Likelihood
ICML 2018
Variational Learning on Aggregate Outputs with Gaussian Processes
NeurIPS 2018
A Linear-Time Kernel Goodness-of-Fit Test
NeurIPS 2017
Density Estimation in Infinite Dimensional Exponential Families
JMLR 2017
Convergence guarantees for kernel-based quadrature rules in misspecified settings
NeurIPS 2016
Kernel Mean Shrinkage Estimators
JMLR 2016
Kernel Mean Estimation and Stein Effect
ICML 2014
Recovering Distributions from Gaussian RKHS Embeddings
AISTATS 2014
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels
JMLR 2013
Learning from Distributions via Support Measure Machines
NeurIPS 2012
Optimal kernel choice for large-scale two-sample tests
NeurIPS 2012
Kernel Bayes' Rule
NeurIPS 2011
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
NeurIPS 2011
Learning low-rank output kernels
ACML 2011
Universality, Characteristic Kernels and RKHS Embedding of Measures
JMLR 2011
Hilbert Space Embeddings and Metrics on Probability Measures
JMLR 2010
On the relation between universality, characteristic kernels and RKHS embedding of measures
AISTATS 2010
A Fast, Consistent Kernel Two-Sample Test
NeurIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
NeurIPS 2009
Characteristic Kernels on Groups and Semigroups
NeurIPS 2008
A Kernel Statistical Test of Independence
NeurIPS 2007
Kernel Measures of Conditional Dependence
NeurIPS 2007
Statistical Consistency of Kernel Canonical Correlation Analysis
JMLR 2007
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
JMLR 2004
12 papers whose co-authors appear nowhere else under this name
Look Before You Leap: A Lookahead Reasoning Quality Gate for Speculative Decoding
EACL 2026
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
ICML 2023
β-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
ICLR 2022
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method
AISTATS 2020
Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning
ECCV 2020
Smoothness and Stability in GANs
ICLR 2020
Semi-flat minima and saddle points by embedding neural networks to overparameterization
NeurIPS 2019
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
EMNLP 2018
Characteristic Kernels and Infinitely Divisible Distributions
JMLR 2016
Centering Similarity Measures to Reduce Hubs
EMNLP 2013
Gradient-based kernel method for feature extraction and variable selection
NeurIPS 2012
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
NeurIPS 2009