Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms
The Generalized Reparameterization Gradient
The Kolmogorov sampler
Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains
Learning to Optimize Via Posterior Sampling
Adaptive MCMC via Combining Local Samplers
Explaining the Gibbs Sampler
Parallelizing MCMC via Weierstrass Sampler
Combining Conjugate Direction Methods with Stochastic Approximation of Gradients
Gibbs Sampling for the Uninitiated
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
Advances in Lifted Importance Sampling
A simple introduction to Markov Chain Monte–Carlo sampling
Particle Markov chain Monte Carlo methods
Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference
Learning to Draw Samples with Amortized Stein Variational Gradient Descent
Adaptive Stochastic Gradient Langevin Dynamics: Taming Convergence and Saddle Point Escape Time
Quasi-Newton Hamiltonian Monte Carlo
Empirical Bayes Gibbs sampling
Accelerated sampling for the Indian Buffet Process
Adaptive sampling for SGD by exploiting side information
Hierarchical Variational Models
Headon: real-time reenactment of human portrait videos
Ulnar-sided wrist pain. Part I: anatomy and physical examination
Social media, participatory design and cultural engagement
Vertebral body replacement system Synex in unstable burst fractures of the thoracic and lumbar spine