Variational Inference

Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows ICML 2022 Few-Shot Non-Parametric Learning with Deep Latent Variable Model NeurIPS 2022 Flowification: Everything is a normalizing flow NeurIPS 2022 Foundation Posteriors for Approximate Probabilistic Inference NeurIPS 2022 Function-space Inference with Sparse Implicit Processes ICML 2022 Generalization Gap in Amortized Inference NeurIPS 2022 Graph Structure Learning with Variational Information Bottleneck AAAI 2022 Grassmann Stein Variational Gradient Descent AISTATS 2022 Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022 Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization NeurIPS 2022 Improving Subgraph Recognition With Variational Graph Information Bottleneck CVPR 2022 Improving Variational Autoencoders with Density Gap-based Regularization NeurIPS 2022 Information-Theoretic GAN Compression with Variational Energy-based Model NeurIPS 2022 Input Dependent Sparse Gaussian Processes ICML 2022 Interpretable Representation Learning from Temporal Multi-view Data ACML 2022 Knowledge Distillation via Constrained Variational Inference AAAI 2022 Laplacian Autoencoders for Learning Stochastic Representations NeurIPS 2022 Latent Time Neural Ordinary Differential Equations AAAI 2022 Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022 Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution IJCAI 2022 Learning Manifold Dimensions with Conditional Variational Autoencoders NeurIPS 2022 Local-Global MCMC kernels: the best of both worlds NeurIPS 2022 Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients NeurIPS 2022 MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction CVPR 2022 Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling JMLR 2022