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Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies., and . J. Mach. Learn. Res., (2015)Gradient-based training and pruning of radial basis function networks with an application in materials physics., , , , , and . Neural Networks, (2021)MDL denoising revisited., , and . IEEE Trans. Signal Process., 57 (9): 3347-3360 (2009)Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework., , , and . IEEE Trans. Big Data, 2 (3): 219-233 (2016)Supervised Learning Approach to Approximate Nearest Neighbor Search., , and . CoRR, (2019)Likelihood-Based Inference of Phylogenetic Networks from Sequence Data by PhyloDAG., and . AlCoB, volume 9199 of Lecture Notes in Computer Science, page 126-140. Springer, (2015)Generalization to Unseen Cases., , , and . NIPS, page 1129-1136. (2005)Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets., , , and . ALT, volume 83 of Proceedings of Machine Learning Research, page 470-488. PMLR, (2018)Robust learning of inhomogeneous PMMs., , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 229-237. JMLR.org, (2014)When Discriminative Learning of Bayesian Network Parameters Is Easy., , , , and . IJCAI, page 491-498. Morgan Kaufmann, (2003)