Journal of Machine Learning Research, Vol. 22, 2021
1. On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests. --Krishnakumar Balasubramanian, Tong Li, Ming Yuan.
2. Domain Generalization by Marginal Transfer Learning. --Gilles Blanchard, Aniket Anand Deshmukh, Urun Dogan, Gyemin Lee, Clayton Scott.
3. Regulating Greed Over Time in Multi-Armed Bandits. --Stefano Tracà, Cynthia Rudin, Weiyu Yan.
4. An Empirical Study of Bayesian Optimization: Acquisition Versus Partition. --Erich Merrill, Alan Fern, Xiaoli Fern, Nima Dolatnia.
5. The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models. --Carlos A. Gomez-Uribe, Brian Karrer.
6. Consistent estimation of small masses in feature sampling. --Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro.
7. Preference-based Online Learning with Dueling Bandits: A Survey. --Viktor Bengs, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, Eyke Hüllermeier.
8. A Unified Framework for Random Forest Prediction Error Estimation. --Benjamin Lu, Johanna Hardin.
9. Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. --Defeng Sun, Kim-Chuan Toh, Yancheng Yuan.
10. Mixing Time of Metropolis-Hastings for Bayesian Community Detection. --Bumeng Zhuo, Chao Gao.
11. Unfolding-Model-Based Visualization: Theory, Method and Applications. --Yunxiao Chen, Zhiliang Ying, Haoran Zhang.
12. Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit. --Shenglong Zhou, Naihua Xiu, Hou-Duo Qi.
etc...
2. Domain Generalization by Marginal Transfer Learning. --Gilles Blanchard, Aniket Anand Deshmukh, Urun Dogan, Gyemin Lee, Clayton Scott.
3. Regulating Greed Over Time in Multi-Armed Bandits. --Stefano Tracà, Cynthia Rudin, Weiyu Yan.
4. An Empirical Study of Bayesian Optimization: Acquisition Versus Partition. --Erich Merrill, Alan Fern, Xiaoli Fern, Nima Dolatnia.
5. The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models. --Carlos A. Gomez-Uribe, Brian Karrer.
6. Consistent estimation of small masses in feature sampling. --Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro.
7. Preference-based Online Learning with Dueling Bandits: A Survey. --Viktor Bengs, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, Eyke Hüllermeier.
8. A Unified Framework for Random Forest Prediction Error Estimation. --Benjamin Lu, Johanna Hardin.
9. Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm. --Defeng Sun, Kim-Chuan Toh, Yancheng Yuan.
10. Mixing Time of Metropolis-Hastings for Bayesian Community Detection. --Bumeng Zhuo, Chao Gao.
11. Unfolding-Model-Based Visualization: Theory, Method and Applications. --Yunxiao Chen, Zhiliang Ying, Haoran Zhang.
12. Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit. --Shenglong Zhou, Naihua Xiu, Hou-Duo Qi.
etc...
Balasubramanian, Krishnakumar - Personal Name
Chen, Yunxiao - Personal Name
Zhuo, Bumeng - Personal Name
Sun, Defeng - Personal Name
Benjamin Lu - Personal Name
Bengs, Viktor - Personal Name
Ayed, Fadhel - Personal Name
Gomez-Uribe, Carlos A. - Personal Name
Merrill, Erich - Personal Name
Tracà, Stefano - Personal Name
Blanchard, Gilles - Personal Name
Zhou, Shenglong - Personal Name
Chen, Yunxiao - Personal Name
Zhuo, Bumeng - Personal Name
Sun, Defeng - Personal Name
Benjamin Lu - Personal Name
Bengs, Viktor - Personal Name
Ayed, Fadhel - Personal Name
Gomez-Uribe, Carlos A. - Personal Name
Merrill, Erich - Personal Name
Tracà, Stefano - Personal Name
Blanchard, Gilles - Personal Name
Zhou, Shenglong - Personal Name
Vol. 22, 2021
1533-7928
e-Journal TI
Inggris
JMLR Inc. - Microtome Publishing
2021
USA
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