Takeshi Teshima
8 papers · 2019–2023 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (7) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(14)
π
Grand Slam
π
Conference Pioneer
Conferences
ICML (2)
AAAI (1)
AISTATS (1)
ICLR (1)
JMLR (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
domain adaptation
(2)
invertible neural network
(2)
coupling flow
(2)
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)
neural ordinary differential equation
(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
Few-shot Domain Adaptation by Causal Mechanism Transfer
ICML 2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
NIPS 2020
Learning from Positive and Unlabeled Data with a Selection Bias
ICLR 2019
Clipped Matrix Completion: A Remedy for Ceiling Effects
AAAI 2019