Naonori Ueda
27 papers · 2009–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (58) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(10)
π
Keyword Champion
(3)
π§
Keyword Pioneer
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(152)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(23)
Optimization & Theory
(17)
Core Methods
(15)
Artificial Intelligence
(9)
Bayesian & Probabilistic Β· Machine Learning
(9)
Mathematics & Optimization
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(8)
Data Science & Analytics
(6)
Deep Learning
(6)
Applications
(4)
Learning Types Β· Machine Learning
(4)
Mathematics
(4)
Computer Vision
(3)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Keywords
relational data
(6)
bayesian nonparametrics
(5)
bayesian inference
(3)
convex optimization
(3)
stochastic process
(3)
factorization machine
(3)
probabilistic modeling
(3)
polynomial network
(2)
cluster analysis
(2)
neural operator
(2)
generative model
(2)
probabilistic model
(2)
stick-breaking process
(2)
system identification
(2)
posterior inference
(2)
feature interaction
(2)
variational inference
(2)
high-dimensional data
(2)
collapsed variational bayes
(1)
model misspecification
(1)
Papers
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
AISTATS 2025
MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters
ACML 2024
Nonparametric Relational Models with Superrectangulation
AISTATS 2022
Position-dependent partial convolutions for
supervised spatial interpolation
ACML 2022
Predictive variational Bayesian inference as risk-seeking optimization
AISTATS 2022
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
NeurIPS 2022
Bayesian nonparametric model for arbitrary cubic partitioning
ACML 2021
Encoder-decoder-based image transformation approach for integrating precipitation forecasts
ACML 2021
Loss function based second-order Jensen inequality and its application to particle variational inference
NeurIPS 2021
Permuton-induced Chinese Restaurant Process
NeurIPS 2021
Skew-symmetrically perturbed gradient flow for convex optimization
ACML 2021
Baxter Permutation Process
NeurIPS 2020
Semi-Supervised Learning for Maximizing the Partial AUC
AAAI 2020
Adaptive truncated residual regression for fine-grained regression problems
ACML 2019
Efficient Data Point Pruning for One-Class SVM
AAAI 2019
Fully Neural Network based Model for General Temporal Point Processes
NeurIPS 2019
Estimating Latent People Flow without Tracking Individuals
IJCAI 2018
Averaged Collapsed Variational Bayes Inference
JMLR 2017
Multi-output Polynomial Networks and Factorization Machines
NeurIPS 2017
SVD-Based Screening for the Graphical Lasso
IJCAI 2017
Higher-Order Factorization Machines
NeurIPS 2016
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms
ICML 2016
Rectangular Tiling Process
ICML 2014
Subset Infinite Relational Models
AISTATS 2012
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis
NeurIPS 2010
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling
ACL 2009
Modeling Social Annotation Data with Content Relevance using a Topic Model
NeurIPS 2009