Learning theory estimates with observations from general stationary stochastic processes

10 May 2016

Papers citing "Learning theory estimates with observations from general stationary stochastic processes"

6 / 6 papers shown

Title
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
Statistical Spatially Inhomogeneous Diffusion Inference Yinuo Ren Yiping Lu Lexing Ying Grant M. Rotskoff 56 2 0 10 Dec 2023
Under-bagging Nearest Neighbors for Imbalanced Classification H. Hang Yuchao Cai Hanfang Yang Zhouchen Lin 144 12 0 01 Sep 2021
Error Bounds for Piecewise Smooth and Switching Regression Fabien Lauer 55 12 0 25 Jul 2017
Kernel Density Estimation for Dynamical Systems H. Hang Ingo Steinwart Yunlong Feng Johan A. K. Suykens 96 22 0 13 Jul 2016
Prediction of Dynamical time Series Using Kernel Based Regression and Smooth Splines Raymundo Navarrete D. Viswanath AI4TS 51 4 0 31 Oct 2015