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05/12/2023
Distributed Gradient Descent for Functional Learning
In recent years, different types of distributed learning schemes have re...
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04/10/2023
Approximation of Nonlinear Functionals Using Deep ReLU Networks
In recent years, functional neural networks have been proposed and studi...
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11/11/2022
PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation
Pre-trained language models have become a crucial part of ranking system...
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02/19/2022
An Oracle Gradient Regularized Newton Method for Quadratic Measurements Regression
Recently, recovering an unknown signal from quadratic measurements has g...
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10/29/2021
Optimal prediction for kernel-based semi-functional linear regression
In this paper, we establish minimax optimal rates of convergence for pre...
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10/19/2020
Remarks on multivariate Gaussian Process
Gaussian process occupies one of the leading places in modern Statistics...
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05/29/2020
Doubly robust estimation of average treatment effect revisited
The research described herewith is to re-visit the classical doubly robu...
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08/13/2019
Comparison theorems on large-margin learning
This paper studies binary classification problem associated with a famil...
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10/24/2018
Solving Poisson's Equation using Deep Learning in Particle Simulation of PN Junction
Simulating the dynamic characteristics of a PN junction at the microscop...
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02/20/2017
A Statistical Learning Approach to Modal Regression
This paper studies the nonparametric modal regression problem systematic...
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12/17/2014
Consistency Analysis of an Empirical Minimum Error Entropy Algorithm
In this paper we study the consistency of an empirical minimum error ent...
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08/03/2012