Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Bayesian Learning via Stochastic Gradient Langevin Dynamics
Less than a Single Pass: Stochastically Controlled Stochastic Gradient Method
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
SGDR: Stochastic Gradient Descent with Warm Restarts
Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains
Learning Stochastic Recurrent Networks
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
Semi-Stochastic Gradient Descent Methods
Linearly convergent stochastic heavy ball method for minimizing generalization error
On parallelizability of stochastic gradient descent for speech DNNS
Asynchronous accelerated stochastic gradient descent
Batch Size Matters: A Diffusion Approximation Framework on Nonconvex Stochastic Gradient Descent
Stochastic Gradient Push for Distributed Deep Learning
SGDR: Stochastic Gradient Descent with Restarts
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Efficient mini-batch training for stochastic optimization
GSNs : Generative Stochastic Networks
A Variational Analysis of Stochastic Gradient Algorithms
A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
Globalizing selectively: shared-memory efficiency with address-space separation
Noninvasive pulse oximetry utilizing skin reflectance photoplethysmography
Knowledge management practices in a public sector organisation: the role of leaders' cognitive styles
Learning hierarchical category structure in deep neural networks
Gaining efficiency and flexibility in the simple temporal problem