A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning

13 January 2015

Papers citing "A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning"

15 / 15 papers shown

Title
Meta-Posterior Consistency for the Bayesian Inference of Metastable System Zachary P Adams Sayan Mukherjee 73 0 0 03 Aug 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning Di Wu Yuling Jiao Li Shen Haizhao Yang Xiliang Lu OffRL 96 1 0 19 Dec 2023
Mixed moving average field guided learning for spatio-temporal data I. Curato O. Furat Lorenzo Proietti Bennet Stroeh AI4TS 117 2 0 02 Jan 2023
Statistical learning for $ψ$ -weakly dependent processes Mamadou Lamine Diop William Kengne 78 5 0 30 Sep 2022
Bernstein-type Inequalities and Nonparametric Estimation under Near-Epoch Dependence Zihao Yuan Martin Spindler 36 0 0 24 Aug 2022
A Bernstein-type Inequality for High Dimensional Linear Processes with Applications to Robust Estimation of Time Series Regressions Linbo Liu Danna Zhang AI4TS 84 1 0 21 Sep 2021
Under-bagging Nearest Neighbors for Imbalanced Classification H. Hang Yuchao Cai Hanfang Yang Zhouchen Lin 144 12 0 01 Sep 2021
The Bootstrap for Dynamical Systems Kasun Fernando Nan Zou 68 1 0 19 Aug 2021
A Kernel Two-sample Test for Dynamical Systems Friedrich Solowjow Dominik Baumann Christian Fiedler Andreas J. Jocham Thomas Seel Sebastian Trimpe 119 11 0 23 Apr 2020
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence Mattes Mollenhauer Stefan Klus Christof Schütte P. Koltai 73 9 0 02 Apr 2020
Aggregation of Multiple Knockoffs Tuan-Binh Nguyen Jérôme-Alexis Chevalier Bertrand Thirion Sylvain Arlot 93 22 0 21 Feb 2020
Distributed Learning with Dependent Samples Zirui Sun Shao-Bo Lin 55 7 0 10 Feb 2020
Exponential inequalities for nonstationary Markov Chains Pierre Alquier P. Doukhan Xiequan Fan 87 10 0 27 Aug 2018
Empirical risk minimization and complexity of dynamical models K. Mcgoff A. Nobel 86 11 0 18 Nov 2016
Learning theory estimates with observations from general stationary stochastic processes H. Hang Yunlong Feng Ingo Steinwart Johan A. K. Suykens 33 11 0 10 May 2016