Hiroshi Mamitsuka
14 papers · 2010–2025 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(10)
Core Methods
(6)
Mathematics & Optimization
(5)
Optimization & Theory
(5)
Learning Types
(4)
Optimization
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications Β· Natural Language Processing
(1)
Applications Β· Data Science & Analytics
(1)
Architectures
(1)
Keywords
tensor decomposition
(2)
multi-view learning
(2)
semi-supervised learning
(1)
variational inference
(1)
graph laplacian
(1)
convex optimization
(1)
text classification
(1)
group sparsity
(1)
logistic regression
(1)
label propagation
(1)
feature selection
(1)
optimal transport
(1)
attention mechanism
(1)
graph structure
(1)
matrix factorization
(1)
manifold learning
(1)
low-rank approximation
(1)
outlier detection
(1)
message passing
(1)
factor analysis
(1)
Papers
Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization
UAI 2025
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
AISTATS 2025
Learning Low-Rank Tensor Cores with Probabilistic β0-Regularized Rank Selection for Model Compression
IJCAI 2024
Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String
AAAI 2020
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
NeurIPS 2019
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity
IJCAI 2019
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning
IJCAI 2019
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms
NeurIPS 2018
Factor Analysis on a Graph
AISTATS 2018
A Robust Convex Formulation for Ensemble Clustering
IJCAI 2016
New Resistance Distances with Global Information on Large Graphs
AISTATS 2016
Instance-Wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters
IJCAI 2015
Manifold-based Similarity Adaptation for Label Propagation
NeurIPS 2013
Boosted Optimization for Network Classification
AISTATS 2010