variational inference

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations ICLR 2020 Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020 Graph Representation Learning via Ladder Gamma Variational Autoencoders AAAI 2020 Graph Stochastic Neural Networks for Semi-supervised Learning NeurIPS 2020 Greedy inference with structure-exploiting lazy maps NeurIPS 2020 Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NeurIPS 2020 Handling the Positive-Definite Constraint in the Bayesian Learning Rule ICML 2020 Identifying signal and noise structure in neural population activity with Gaussian process factor models NeurIPS 2020 Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NeurIPS 2020 Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020 Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters ICML 2020 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020 Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020 Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NeurIPS 2020 Interpretable Deep Gaussian Processes with Moments AISTATS 2020 Introducing Routing Uncertainty in Capsule Networks NeurIPS 2020 Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax NeurIPS 2020 Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models UAI 2020 Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020 Latent Bernoulli Autoencoder ICML 2020 Latent Variable Modelling with Hyperbolic Normalizing Flows ICML 2020 Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior AAAI 2020 Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval AAAI 2020 Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NeurIPS 2020 Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification AISTATS 2020