Yasuhiro Fujiwara
27 papers · 2010–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (55) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Pioneer
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Dynamic Duo
(11)
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Conference Pioneer
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Unstoppable Β· Bronze
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Keyword Collector
(125)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(23)
Optimization & Theory
(15)
Core Methods
(12)
Learning Types Β· Machine Learning
(9)
Mathematics & Optimization
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Optimization
(6)
Application Areas
(4)
Mathematics
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Keywords
feature selection
(3)
sparse optimization
(3)
bayesian nonparametrics
(3)
few-shot learning
(3)
importance weighting
(2)
gradient descent
(2)
positive-unlabeled learning
(2)
algorithm optimization
(2)
language modeling
(2)
anomaly detection
(2)
gradient-based optimization
(2)
covariate shift
(2)
relational data
(2)
label propagation
(1)
compressive sensing
(1)
probabilistic modeling
(1)
bayesian inference
(1)
convex optimization
(1)
semi-supervised learning
(1)
domain adaptation
(1)
Papers
ACT: Knowledgeable Agents to Design and Perform Complex Tasks
ACL 2025
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
AISTATS 2025
Positive-unlabeled AUC Maximization under Covariate Shift
ICML 2025
Tensorized Attention for Understanding Multi-Object Relationships
AAAI 2025
AUC Maximization under Positive Distribution Shift
NeurIPS 2024
Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations
NeurIPS 2024
Zero-Shot Task Adaptation with Relevant Feature Information
AAAI 2024
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers
AAAI 2023
Meta-learning for Robust Anomaly Detection
AISTATS 2023
Uncovering the Largest Community in Social Networks at Scale
IJCAI 2023
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion
NeurIPS 2022
Nonparametric Relational Models with Superrectangulation
AISTATS 2022
Bayesian nonparametric model for arbitrary cubic partitioning
ACML 2021
Meta-Learning for Relative Density-Ratio Estimation
NeurIPS 2021
Permuton-induced Chinese Restaurant Process
NeurIPS 2021
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
AAAI 2020
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
ICML 2020
Efficient Data Point Pruning for One-Class SVM
AAAI 2019
Fast Sparse Group Lasso
NeurIPS 2019
Transfer Anomaly Detection by Inferring Latent Domain Representations
NeurIPS 2019
Sigsoftmax: Reanalysis of the Softmax Bottleneck
NeurIPS 2018
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks
IJCAI 2017
Preventing Gradient Explosions in Gated Recurrent Units
NeurIPS 2017
SVD-Based Screening for the Graphical Lasso
IJCAI 2017
Quiet: Faster Belief Propagation for Images and Related Applications
IJCAI 2015
Efficient Label Propagation
ICML 2014
Efficient Staggered Decoding for Sequence Labeling
ACL 2010