activity
20142023
most citedA convergence and asymptotic analysis of the generalized symmetric FastICA algorithm

35 citations · 55 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2023★ 9 cited

CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

Tianwen Wei, Jian Luan, Wei Liu +2

We present the Chinese Elementary School Math Word Problems (CMATH) dataset, comprising 1.7k elementary school-level math word problems with detailed annotations, source from actua…

cs.CL2021★ 2 cited

A Flexible Multi-Task Model for BERT Serving

Tianwen Wei, Jianwei Qi, Shenghuan He

In this demonstration, we present an efficient BERT-based multi-task (MT) framework that is particularly suitable for iterative and incremental development of the tasks. The propos…

cs.LG2021★ 3 cited

Masked Conditional Random Fields for Sequence Labeling

Tianwen Wei, Jianwei Qi, Shenghuan He +1

Conditional Random Field (CRF) based neural models are among the most performant methods for solving sequence labeling problems. Despite its great success, CRF has the shortcoming…

math.OC2016

On the subdifferential of symmetric convex functions of the spectrum for symmetric and orthogonally decomposable tensors

Stéphane Chrétien, Tianwen Wei

The subdifferential of convex functions of the singular spectrum of real matrices has been widely studied in matrix analysis, optimization and automatic control theory. Convex opti…

math.ST2015★ 2 cited

Joint estimation and model order selection for one dimensional ARMA models via convex optimization: a nuclear norm penalization approach

Stéphane Chrétien, Tianwen Wei, Basad Ali Hussain Al-sarray

The problem of estimating ARMA models is computationally interesting due to the nonconcavity of the log-likelihood function. Recent results were based on the convex minimization. J…

stat.ML2015

Convex recovery of tensors using nuclear norm penalization

Stephane Chretien, Tianwen Wei

The subdifferential of convex functions of the singular spectrum of real matrices has been widely studied in matrix analysis, optimization and automatic control theory. Convex anal…

math.ST2015

Sensing tensors with Gaussian filters

Stéphane Chrétien, Tianwen Wei

Sparse recovery from linear Gaussian measurements has been the subject of much investigation since the breaktrough papers \cite{CRT:IEEEIT06} and \cite{donoho2006compressed} on Com…

stat.ML2015

An Overview of the Asymptotic Performance of the Family of the FastICA Algorithms

Tianwen Wei

This contribution summarizes the results on the asymptotic performance of several variants of the FastICA algorithm. A number of new closed-form expressions are presented.

math.NA2015★ 3 cited

Von Neumann's inequality for tensors

Stéphane Chrétien, Tianwen Wei

For two matrices in , the von Neumann inequality says that their scalar product is less than or equal to the scalar product of their singular spectrum. I…

stat.ML2014★ 1 cited

A study of the fixed points and spurious solutions of the FastICA algorithm

Tianwen Wei

The FastICA algorithm is one of the most popular iterative algorithms in the domain of linear independent component analysis. Despite its success, it is observed that FastICA occas…

stat.ML2014★ 35 cited

A convergence and asymptotic analysis of the generalized symmetric FastICA algorithm

Tianwen Wei

This contribution deals with the generalized symmetric FastICA algorithm in the domain of Independent Component Analysis (ICA). The generalized symmetric version of FastICA has bee…