Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Bayesian Gradient Descent: Online Variational Bayes Learning with Increased Robustness to Catastrophic Forgetting and Weight Pruning
Bayesian Learning via Stochastic Gradient Langevin Dynamics
Practical Variational Inference for Neural Networks
Combining learning rate decay and weight decay with complexity gradient descent - Part I
Bayesian Online Multitask Learning of Gaussian Processes
From Bayesian Sparsity to Gated Recurrent Nets
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
A Practical Bayesian Framework for Backpropagation Networks
Operator Variational Inference
Learning to Learn without Gradient Descent by Gradient Descent
Adaptive regularization of weight vectors
Stochastic Back-propagation and Variational Inference in Deep Latent Gaussian Models
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Bayesian Learning via Stochastic Dynamics
Variational Bayesian Inference : Algorithms for Sparse Gaussian Processes and Theoretical Bounds
Variational Dropout and the Local Reparameterization Trick
Learning to Optimize Via Posterior Sampling
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Deep Learning: A Bayesian Perspective
Optimal Bayesian Transfer Learning
On the importance of initialization and momentum in deep learning
Stochastic Optimization for Large-scale Optimal Transport
Customizing ISO 9126 quality model for evaluation of B2B applications
Double Transgenesis of Humanized fat1 and fat2 Genes Promotes Omega-3 Polyunsaturated Fatty Acids Synthesis in a Zebrafish Model
Fractionating impulsivity: neuropsychiatric implications