Southwestern University of Finance and Economics

∙ Chengdu , China ∙ 0 followers

Welcome to Southwest University of Finance and Economics

Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection

Unsupervised feature selection is an important method to reduce dimensio...
12/27/2020 ∙ by Yanyong Huang, et al. ∙ 27 ∙ share

read it
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models

Simultaneous inference after model selection is of critical importance t...
08/04/2019 ∙ by Fei Wang, et al. ∙ 2 ∙ share

read it
A debiased distributed estimation for sparse partially linear models in diverging dimensions

We consider a distributed estimation of the double-penalized least squar...
08/18/2017 ∙ by Shaogao Lv, et al. ∙ 0 ∙ share

read it
High Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions

Sliced inverse regression (SIR) is the most widely-used sufficient dimen...
01/06/2018 ∙ by Jia Zhang, et al. ∙ 0 ∙ share

read it
A frequency domain analysis of the error distribution from noisy high-frequency data

Data observed at high sampling frequency are typically assumed to be an ...
01/20/2018 ∙ by Jinyuan Chang, et al. ∙ 0 ∙ share

read it
Scalable kernel-based variable selection with sparsistency

Variable selection is central to high-dimensional data analysis, and var...
02/26/2018 ∙ by Xin He, et al. ∙ 0 ∙ share

read it
Change Point Estimation in Panel Data with Time-Varying Individual Effects

This paper proposes a method for estimating multiple change points in pa...
08/09/2018 ∙ by Otilia Boldea, et al. ∙ 0 ∙ share

read it
Sufficient Dimension Reduction for Classification

We propose a new sufficient dimension reduction approach designed delibe...
12/10/2018 ∙ by Xin Chen, et al. ∙ 0 ∙ share

read it
Optimal covariance matrix estimation for high-dimensional noise in high-frequency data

In this paper, we consider efficiently learning the structural informati...
12/19/2018 ∙ by Jinyuan Chang, et al. ∙ 0 ∙ share

read it
SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement

Knowledge graph (KG) refinement mainly aims at KG completion and correct...
02/18/2019 ∙ by Yu Zhao, et al. ∙ 0 ∙ share

read it
Gated deep neural networks for implied volatility surfaces

In this paper, we propose a gated deep neural network model to predict i...
04/29/2019 ∙ by Yu Zheng, et al. ∙ 0 ∙ share

read it
A Hessenberg-type Algorithm for Computing PageRank Problems

PageRank is a greatly essential ranking algorithm in web information ret...
08/01/2019 ∙ by Xian-Ming Gu, et al. ∙ 0 ∙ share

read it
Randomized algorithms for the low multilinear rank approximations of tensors

In this paper, we develop efficient methods for the computation of low m...
08/29/2019 ∙ by Maolin Che, et al. ∙ 0 ∙ share

read it
A fast implicit difference scheme for solving the generalized time-space fractional diffusion equations with variable coefficients

In this paper, we first propose an unconditionally stable implicit diffe...
09/16/2019 ∙ by Xian-Ming Gua, et al. ∙ 0 ∙ share

read it
Fast implicit difference schemes for time-space fractional diffusion equations with the integral fractional Laplacian

In this paper, we develop two fast implicit difference schemes for solvi...
02/27/2020 ∙ by Xian-Ming Gu, et al. ∙ 0 ∙ share

read it
Connecting Embeddings for Knowledge Graph Entity Typing

Knowledge graph (KG) entity typing aims at inferring possible missing en...
07/21/2020 ∙ by Yu Zhao, et al. ∙ 0 ∙ share

read it
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation

In this paper, we develop a new alternating projection method to compute...
09/02/2020 ∙ by Guangjing Song, et al. ∙ 0 ∙ share

read it

Southwestern University of Finance and Economics

Featured Researchers

Yu Zhao

Yu Zheng

Tai-Xiang Jiang

Ling Zhou

Jia Zhang

Xian-Ming Gu

Jinyuan Chang

Shaogao Lv

Zhuojiong Gan

Maolin Che

Xian-Ming Gua

Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection

Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models

A debiased distributed estimation for sparse partially linear models in diverging dimensions

High Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions

A frequency domain analysis of the error distribution from noisy high-frequency data

Scalable kernel-based variable selection with sparsistency

Change Point Estimation in Panel Data with Time-Varying Individual Effects

Sufficient Dimension Reduction for Classification

Optimal covariance matrix estimation for high-dimensional noise in high-frequency data

SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement

Gated deep neural networks for implied volatility surfaces

A Hessenberg-type Algorithm for Computing PageRank Problems

Randomized algorithms for the low multilinear rank approximations of tensors

A fast implicit difference scheme for solving the generalized time-space fractional diffusion equations with variable coefficients

Fast implicit difference schemes for time-space fractional diffusion equations with the integral fractional Laplacian

Connecting Embeddings for Knowledge Graph Entity Typing

Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation