According to our database
1,
Lek-Heng Lim
authored at least 64 papers
between 2000 and 2023.
Collaborative distances:
2023
Generalized Matrix Nearness Problems.
SIAM J. Matrix Anal. Appl., December, 2023
Numerical stability and tensor nuclear norm.
Numerische Mathematik, December, 2023
Convex Relaxation for Fokker-Planck.
CoRR, 2023
2022
Learning Subspaces of Different Dimensions.
J. Comput. Graph. Stat., January, 2022
Distances Between Probability Distributions of Different Dimensions.
IEEE Trans. Inf. Theory, 2022
Optimization on flag manifolds.
Math. Program., 2022
Special Issue: Polynomial and Tensor Optimization.
Math. Program., 2022
Stochastic Steffensen method.
CoRR, 2022
LU decomposition and Toeplitz decomposition of a neural network.
CoRR, 2022
Inverting a complex matrix.
CoRR, 2022
Rank-constrained Hyperbolic Programming.
CoRR, 2022
What is an equivariant neural network?
CoRR, 2022
2021
Fiber product homotopy method for multiparameter eigenvalue problems.
Numerische Mathematik, 2021
The Grassmannian of affine subspaces.
Found. Comput. Math., 2021
2020
Hodge Laplacians on Graphs.
SIAM Rev., 2020
Topology of Deep Neural Networks.
J. Mach. Learn. Res., 2020
Symmetric Grothendieck inequality.
CoRR, 2020
Ubiquity of the exponent of matrix multiplication.
Proceedings of the ISSAC '20: International Symposium on Symbolic and Algebraic Computation, 2020
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Geometric Distance Between Positive Definite Matrices of Different Dimensions.
IEEE Trans. Inf. Theory, 2019
Numerical Algorithms on the Affine Grassmannian.
SIAM J. Matrix Anal. Appl., 2019
Grothendieck constant is norm of Strassen matrix multiplication tensor.
Numerische Mathematik, 2019
Best k-layer neural network approximations.
CoRR, 2019
Path-connectedness of tensor ranks.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Nuclear norm of higher-order tensors.
Math. Comput., 2018
Fast Structured Matrix Computations: Tensor Rank and Cohn-Umans Method.
Found. Comput. Math., 2018
Semi-Riemannian Manifold Optimization.
CoRR, 2018
Tropical Geometry of Deep Neural Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Fast Randomized Iteration: Diffusion Monte Carlo through the Lens of Numerical Linear Algebra.
SIAM Rev., 2017
The Spacey Random Walk: A Stochastic Process for Higher-Order Data.
SIAM Rev., 2017
Cohomology of Cryo-Electron Microscopy.
SIAM J. Appl. Algebra Geom., 2017
Self-concordance is NP-hard.
J. Glob. Optim., 2017
Grothendieck constant is norm of Strassen matrix multiplication tensor.
CoRR, 2017
Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs.
Int. J. Comput. Assist. Radiol. Surg., 2017
2016
Uniqueness of Nonnegative Tensor Approximations.
IEEE Trans. Inf. Theory, 2016
Schubert Varieties and Distances between Subspaces of Different Dimensions.
SIAM J. Matrix Anal. Appl., 2016
Semialgebraic Geometry of Nonnegative Tensor Rank.
SIAM J. Matrix Anal. Appl., 2016
The Computational Complexity of Duality.
SIAM J. Optim., 2016
Every Matrix is a Product of Toeplitz Matrices.
Found. Comput. Math., 2016
Fast and Accurate Multi-tissue Deconvolution Using SHORE and H-psd Tensors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Algorithms for structured matrix-vector product of optimal bilinear complexity.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016
2015
SIAM J. Matrix Anal. Appl., 2015
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top.
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Blind Multilinear Identification.
IEEE Trans. Inf. Theory, 2014
Computational Complexity of Tensor Nuclear Norm.
CoRR, 2014
Higher-Order Tensors in Diffusion Imaging.
Proceedings of the Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014
2013
The spectral theory of tensors and its applications.
Numer. Linear Algebra Appl., 2013
ParNes: a rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals.
Numer. Algorithms, 2013
Most Tensor Problems Are NP-Hard.
J. ACM, 2013
2011
Statistical ranking and combinatorial Hodge theory.
Math. Program., 2011
Rank aggregation via nuclear norm minimization.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
2010
Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors.
SIAM J. Sci. Comput., 2010
Multiarray Signal Processing: Tensor decomposition meets compressed sensing
CoRR, 2010
2009
Nonnegative approximations of nonnegative tensors
CoRR, 2009
2008
Algorithmic and statistical challenges in modern largescale data analysis are the focus of MMDS 2008.
SIGKDD Explor., 2008
Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem.
SIAM J. Matrix Anal. Appl., 2008
Symmetric Tensors and Symmetric Tensor Rank.
SIAM J. Matrix Anal. Appl., 2008
Shift-invariant multilinear decomposition of neuroimaging data.
NeuroImage, 2008
Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008
CoRR, 2008
Learning to rank with combinatorial Hodge theory
CoRR, 2008
2006
Singular Values and Eigenvalues of Tensors: A Variational Approach
CoRR, 2006
Genericity And Rank Deficiency Of High Order Symmetric Tensors.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2000
Security of the Cao-Li Public Key Cryptosystem
CoRR, 2000
