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ORCIDSIAM Journal on Mathematics of Data Science, Volume 8
Volume 8, Number 1, 2026
- Anthony Coache, Sebastian Jaimungal:
Robust Reinforcement Learning with Dynamic Distortion Risk Measures. 1-22 - Giacomo Turri, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil:
A Randomized Algorithm to Solve Reduced Rank Operator Regression. 23-45 - Giulio Biroli, Marc Mézard:
Kernel Density Estimators in Large Dimensions. 46-76 - Natalie S. Frank:
A Notion of Uniqueness for the Adversarial Bayes Classifier. 77-107 - Matthew King-Roskamp, Rustum Choksi, Tim Hoheisel:
Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems. 108-140 - Quanjun Lang, Jianfeng Lu:
Learning Memory Kernels in Generalized Langevin Equations. 141-166 - Giovanni S. Alberti, Ernesto De Vito, Tapio Helin, Matti Lassas, Luca Ratti, Matteo Santacesaria:
Learning Sparsity-Promoting Regularizers for Linear Inverse Problems. 167-199 - Phillip Lo, Yuehaw Khoo:
Method of Moments for Estimation of Noisy Curves. 200-223
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last updated on 2026-03-17 23:23 CET by the dblp team
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