Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Riemannian Optimization for High-Dimensional Tensor Completion
Low-rank matrix completion by riemannian optimization
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion
Symmetric Tensor Completion from Multilinear Entries and Learning Product Mixtures over the Hypercube
Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization
Understanding Alternating Minimization for Matrix Completion
Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD
Guaranteed Matrix Completion via Nonconvex Factorization
A Riemannian Framework for Tensor Computing
The complexity of matrix completion
Low rank tensor recovery via iterative hard thresholding
A Novel Sparsity Measure for Tensor Recovery
Transformed Schatten-1 Iterative Thresholding Algorithms for Low Rank Matrix Completion
All-at-once Optimization for Coupled Matrix and Tensor Factorizations
Constrained Tensor Factorization with Accelerated AO-ADMM
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
Robust and sparse estimation of tensor decompositions
Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization
Fast and Guaranteed Tensor Decomposition via Sketching
Global optimality in low-rank matrix optimization
A Simpler Approach to Matrix Completion
System-Level Behavioral Model of a 12-Bit 1.5-Bit Per Stage Pipelined ADC Based on Verilog®=-AMS
Designing language-oriented programming languages
Some mathematical notes on three-mode factor analysis
Mecanum-wheel vehicle systems based on position corrective control
Application of Machine Learning for Optimization of 3-D Integrated Circuits and Systems