Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Convergence of Stochastic Gradient Descent for PCA
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
From neural PCA to deep unsupervised learning
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems
Sparse submodular probabilistic PCA
Sparse probabilistic principal component analysis
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition
Parallel Coordinate Descent for L1-Regularized Loss Minimization
A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
An optimal randomized incremental gradient method
Almost Global Convergence to Global Minima for Gradient Descent in Deep Linear Networks
SGDR: Stochastic Gradient Descent with Restarts
Nonnegative Sparse PCA
On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning
Stochastic Frank-Wolfe methods for nonconvex optimization
Expectation-Conjugate Gradient: An Alternative to EM
Stochastic alternating direction method of multipliers
Probabilistic Principal Component Analysis
Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property
automating regression testing for evolving gui software .
intentio : power distribution through a potentialized human body .
Arabic Semantic Web Applications – A Survey
Logarithmic regret algorithms for online convex optimization
Gaze Analytics: where do we stand?