Hiroshi Mamitsuka
14 papers · 2010–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (15) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (12)
🏃
Academic Marathon
(15)
🐝
Cross-Pollinator
(12)
🌈
Renaissance Researcher
(6)
🗃️
Keyword Collector
(61)
💎
Century Club
(14)
🚀
Conference Pioneer
Conferences
IJCAI (5)
AISTATS (4)
NIPS (3)
AAAI (1)
UAI (1)
Top co-authors
Keywords
multi-view learning
(2)
tensor decomposition
(2)
semi-supervised learning
(1)
graph laplacian
(1)
convex optimization
(1)
matrix factorization
(1)
logistic regression
(1)
low-rank approximation
(1)
label propagation
(1)
feature selection
(1)
attention mechanism
(1)
graph structure
(1)
group sparsity
(1)
text classification
(1)
manifold learning
(1)
outlier detection
(1)
message passing
(1)
random walk
(1)
graph-based learning
(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 ℓ0-Regularized Rank Selection for Model Compression
IJCAI 2024
Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String
AAAI 2020
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning
IJCAI 2019
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity
IJCAI 2019
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
NIPS 2019
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms
NIPS 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
NIPS 2013
Boosted Optimization for Network Classification
AISTATS 2010