Takeshi Teshima
8 papers · 2019–2023 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird π Grand Slam
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Conference Pioneer
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Research topics
Machine Learning
(6)
Application Areas
(3)
Learning Types
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Core Methods
(2)
Models
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Applications
(1)
Architectures
(1)
Mathematics
(1)
Optimization
(1)
Keywords
invertible neural network
(2)
domain adaptation
(2)
coupling flow
(2)
binary classification
(1)
transfer learning
(1)
anomaly detection
(1)
data augmentation
(1)
likelihood-free inference
(1)
universal approximation
(1)
predictive modeling
(1)
outlier detection
(1)
bregman divergence
(1)
nearest neighbor
(1)
density ratio estimation
(1)
outlier robustness
(1)
low-rank recovery
(1)
conditional independence
(1)
domain knowledge
(1)
generalization error bound
(1)
approximate bayesian computation
(1)
Papers
Universal Approximation Property of Invertible Neural Networks
JMLR 2023
Incorporating causal graphical prior knowledge into predictive modeling via simple data augmentation
UAI 2021
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
ICML 2021
Ξ³-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
AISTATS 2021
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
NeurIPS 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer
ICML 2020
Clipped Matrix Completion: A Remedy for Ceiling Effects
AAAI 2019
Learning from Positive and Unlabeled Data with a Selection Bias
ICLR 2019