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Sharp Analysis of Learning with Discrete Losses., , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1920-1929. PMLR, (2019)Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance., , , и . COLT, том 99 из Proceedings of Machine Learning Research, стр. 2294-2340. PMLR, (2019)Learning With Subquadratic Regularization : A Primal-Dual Approach., , и . IJCAI, стр. 1963-1969. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Gossip of Statistical Observations using Orthogonal Polynomials., , и . CoRR, (2018)Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss., и . COLT, том 125 из Proceedings of Machine Learning Research, стр. 1305-1338. PMLR, (2020)Submodular Functions: from Discrete to Continous Domains.. CoRR, (2015)High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning. CoRR, (2009)Predictive low-rank decomposition for kernel methods., и . ICML, том 119 из ACM International Conference Proceeding Series, стр. 33-40. ACM, (2005)Graph kernels between point clouds.. ICML, том 307 из ACM International Conference Proceeding Series, стр. 25-32. ACM, (2008)On the impact of activation and normalization in obtaining isometric embeddings at initialization., , и . CoRR, (2023)