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tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models.

, , , , and . J. Mach. Learn. Res., (2017)

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tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models., , , , and . J. Mach. Learn. Res., (2017)On the optimality of the Hedge algorithm in the stochastic regime., and . J. Mach. Learn. Res., (2019)An improper estimator with optimal excess risk in misspecified density estimation and logistic regression., and . J. Mach. Learn. Res., (2022)Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework., , , , , , , and . CoRR, (2018)An improper estimator with optimal excess risk in misspecified density estimation and logistic regression., and . CoRR, (2019)Robust supervised learning with coordinate gradient descent., and . CoRR, (2022)Sharp Oracle Inequalities for High-Dimensional Matrix Prediction., and . IEEE Trans. Information Theory, 57 (10): 6942-6957 (2011)Anytime Hedge achieves optimal regret in the stochastic regime., and . CoRR, (2018)Learning to Target the Target: Automatic Audience Segmentation., , and . ICDM (Workshops), page 163-170. ibai Publishing, (2013)Link Prediction in Graphs with Autoregressive Features., , and . NIPS, page 2843-2851. (2012)