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Masaaki Takada

3 papers · 2018–2020 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird

Venues

AISTATS (1) IJCAI (1) NeurIPS (1)

Top co-authors

Hironori Fujisawa (3) Taiji Suzuki (1) Takeichiro Nishikawa (1)

Research topics

Machine Learning (3) Application Areas (2) Core Methods (2) Artificial Intelligence (1) Deep Learning (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

sparse regression (2) transfer learning (1) domain adaptation (1) sparse learning (1) parameter estimation (1) covariance estimation (1) l1 regularization (1) lasso regression (1) high-dimensional regression (1) high-dimensional learning (1) high-dimensional data (1) missing value (1) variable selection (1) lasso regularization (1)

Papers

Transfer Learning via ℓ_1 Regularization NeurIPS 2020 HMLasso: Lasso with High Missing Rate IJCAI 2019 Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables AISTATS 2018