Pollux improves scheduling performance in deep learning (DL) clusters by adaptively co-
optimizing inter-dependent factors both at the per-job level and at the cluster-wide level …

In nonparametric regression, the derivative estimation has attracted much attention in recent
years due to its wide applications. In this paper, we propose a new method for the derivative …

In the era of big data, there are many data sets recorded in equal intervals of time. To model
the change rate of such data, one often constructs a nonparametric regression model and …

For finite time series, it is difficult to provide a convincing determination scheme for
specifying relevant parameters of entropy. This article proposes a new entropy, σ k E n …

In this paper, we apply machine learning to forecast the conditional variance of long-term
stock returns measured in excess of different benchmarks, considering the short-and long …

Differenced estimators of variance bypass the estimation of regression function and thus are
simple to calculate. However, there exist two problems: most differenced estimators do not …

In real applications, the correlated data are commonly encountered. To model such data,
many techniques have been proposed. However, of the developed techniques, emphasis …

Error variance estimation plays a key role in the analysis of homogeneous non‐parametric
regression models. For a random design model, most methods in the literature for error …

In this paper, we propose a robust method for the estimation of regression function. By
symmetric addition, we change platykurtic errors into leptokurtic errors; and then estimate …

摘摇要: 半参数模型既含有参数分量, 又含有非参数分量, 在保留非参数模型灵活性的同时又克服
了“维数灾祸冶问题. 处理这类模型的方法融合了参数回归模型中常用的方法和近年来发展起来 …