Journal of Machine Learning Research, Vol. 21, 2020
1. A Low Complexity Algorithm with O(√T) Regret and O(1) Constraint Violations for Online Convex Optimization with Long Term Constraints. --Hao Yu, Michael J. Neely.
2. A Statistical Learning Approach to Modal Regression. --Yunlong Feng, Jun Fan, Johan A.K. Suykens.
3. A Model of Fake Data in Data-driven Analysis. --Xiaofan Li, Andrew B. Whinston.
4. Universal Latent Space Model Fitting for Large Networks with Edge Covariates. --Zhuang Ma, Zongming Ma, Hongsong Yuan.
5. Lower Bounds for Parallel and Randomized Convex Optimization. --Jelena Diakonikolas, Cristóbal Guzmán.
6. Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms. --Anna Little, Mauro Maggioni, James M. Murphy.
7. Target Propagation in Recurrent Neural Networks. --Nikolay Manchev, Michael Spratling.
8. DESlib: A Dynamic ensemble selection library in Python. --Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti.
9. On Mahalanobis Distance in Functional Settings. --José R. Berrendero, Beatriz Bueno-Larraz, Antonio Cuevas.
10. Online Sufficient Dimension Reduction Through Sliced Inverse Regression. --Zhanrui Cai, Runze Li, Liping Zhu.
11. Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information. --T. Tony Cai, Tengyuan Liang, Alexander Rakhlin.
12. Neyman-Pearson classification: parametrics and sample size requirement. --Xin Tong, Lucy Xia, Jiacheng Wang, Yang Feng.
etc...
2. A Statistical Learning Approach to Modal Regression. --Yunlong Feng, Jun Fan, Johan A.K. Suykens.
3. A Model of Fake Data in Data-driven Analysis. --Xiaofan Li, Andrew B. Whinston.
4. Universal Latent Space Model Fitting for Large Networks with Edge Covariates. --Zhuang Ma, Zongming Ma, Hongsong Yuan.
5. Lower Bounds for Parallel and Randomized Convex Optimization. --Jelena Diakonikolas, Cristóbal Guzmán.
6. Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms. --Anna Little, Mauro Maggioni, James M. Murphy.
7. Target Propagation in Recurrent Neural Networks. --Nikolay Manchev, Michael Spratling.
8. DESlib: A Dynamic ensemble selection library in Python. --Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti.
9. On Mahalanobis Distance in Functional Settings. --José R. Berrendero, Beatriz Bueno-Larraz, Antonio Cuevas.
10. Online Sufficient Dimension Reduction Through Sliced Inverse Regression. --Zhanrui Cai, Runze Li, Liping Zhu.
11. Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information. --T. Tony Cai, Tengyuan Liang, Alexander Rakhlin.
12. Neyman-Pearson classification: parametrics and sample size requirement. --Xin Tong, Lucy Xia, Jiacheng Wang, Yang Feng.
etc...
Feng, Yunlong - Personal Name
Cai, T. Tony - Personal Name
Cai, Zhanrui - Personal Name
Berrendero, José R. - Personal Name
Cruz, Rafael M. O. - Personal Name
Manchev, Nikolay - Personal Name
Little, Anna - Personal Name
Diakonikolas, Jelena - Personal Name
Zhuang Ma - Personal Name
Xiaofan Li - Personal Name
Hao Yu - Personal Name
Tong, Xin - Personal Name
Cai, T. Tony - Personal Name
Cai, Zhanrui - Personal Name
Berrendero, José R. - Personal Name
Cruz, Rafael M. O. - Personal Name
Manchev, Nikolay - Personal Name
Little, Anna - Personal Name
Diakonikolas, Jelena - Personal Name
Zhuang Ma - Personal Name
Xiaofan Li - Personal Name
Hao Yu - Personal Name
Tong, Xin - Personal Name
Vol. 21, 2020
1533-7928
e-Journal TI
Inggris
JMLR Inc. - Microtome Publishing
2020
USA
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