Hiroyuki Toda
11 papers · 2018–2022 · 5 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(10)
Mathematics & Optimization
(8)
Optimization & Theory
(8)
Bayesian & Probabilistic Β· Machine Learning
(5)
Core Methods
(4)
Mathematics
(4)
Optimization
(4)
Artificial Intelligence
(3)
Data Science & Analytics
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Application Areas
(2)
Applications
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Learning Types
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Probability
(2)
Methods
(1)
Keywords
gaussian process
(3)
probabilistic model
(2)
collective graphical model
(2)
map inference
(2)
bayesian inference
(2)
probabilistic modeling
(2)
stochastic process
(2)
spatial data
(2)
combinatorial optimization
(2)
expectation maximization
(1)
bipartite matching
(1)
uncertainty quantification
(1)
transfer learning
(1)
privacy preservation
(1)
semi-supervised learning
(1)
em algorithm
(1)
discrete optimization
(1)
parameter estimation
(1)
bayesian estimation
(1)
multivariate gaussian
(1)
Papers
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates
NeurIPS 2022
Joint Modeling of Multi-Sample and Subband Signals for Fast Neural Vocoding on CPU
Interspeech 2022
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization
AAAI 2021
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
NeurIPS 2021
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm
AAAI 2020
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data
IJCAI 2020
Exemplar Based Mixture Models with Censored Data
ACML 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
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data
IJCAI 2018
Estimating Latent People Flow without Tracking Individuals
IJCAI 2018