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08/29/2023
Second-order methods for quartically-regularised cubic polynomials, with applications to high-order tensor methods
There has been growing interest in high-order tensor methods for nonconv...
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01/28/2023
Convergence and Near-optimal Sampling for Multivariate Function Approximations in Irregular Domains via Vandermonde with Arnoldi
Vandermonde matrices are usually exponentially ill-conditioned and often...
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09/22/2022
Newsvendor Conditional Value-at-Risk Minimisation with a Non-Parametric Approach
In the classical Newsvendor problem, one must determine the order quanti...
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10/20/2019
Sparse-Dense Subspace Clustering
Subspace clustering refers to the problem of clustering high-dimensional...
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10/12/2019
Residual Encoder-Decoder Network for Deep Subspace Clustering
Subspace clustering aims to cluster unlabeled data that lies in a union ...
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05/02/2019
Three-Stage Subspace Clustering Framework with Graph-Based Transformation and Optimization
Subspace clustering (SC) refers to the problem of clustering high-dimens...
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05/01/2019