Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: ARM: Augment-REINFORCE-Merge Gradient for Discrete Latent Variable Models
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
Reinforcement Learning with a Gaussian mixture model
Local Expectation Gradients for Black Box Variational Inference
AS DISCRETE LATENT VARIABLES
Leveraging the Exact Likelihood of Deep Latent Variable Models
Policy Gradient Methods for Reinforcement Learning with Function Approximation
Boosting Variational Inference: an Optimization Perspective
Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation
Discrete Variational Autoencoders
Discovering latent causes in reinforcement learning
Continuous Relaxation Training of Discrete Latent Variable Image Models
A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients
Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data
Improving Variational Inference with Inverse Autoregressive Flow
AdaGAN: Boosting Generative Models
Bayesian Gaussian Process Latent Variable Model
Inverse Reinforcement Learning via Deep Gaussian Process
Online Multi-Task Learning for Policy Gradient Methods
Multi-step Reinforcement Learning: A Unifying Algorithm
A-NICE-MC: Adversarial Training for MCMC
Comparison of different methods of antioxidant activity evaluation of green and roast C. Arabica and C. Robusta coffee beans
Aesthetic reconstruction of the tip of the nose.
Connectionist learning of belief networks
A low-offset high-speed double-tail dual-rail dynamic latched comparator
Seasonality in mares