Variational Inference

Embracing the chaos: analysis and diagnosis of numerical instability in variational flows NeurIPS 2023 Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023 GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NeurIPS 2023 GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023 GFlowNets and variational inference ICLR 2023 Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping AAAI 2023 Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration NeurIPS 2023 Hierarchical VAEs provide a normative account of motion processing in the primate brain NeurIPS 2023 H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023 Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023 Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes NeurIPS 2023 Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry AAAI 2023 LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs EMNLP 2023 Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference COLT 2023 MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023 MixFlows: principled variational inference via mixed flows ICML 2023 Moment Matching Denoising Gibbs Sampling NeurIPS 2023 Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization Interspeech 2023 Neural Markov Jump Processes ICML 2023 On the Convergence of Black-Box Variational Inference NeurIPS 2023 On the geometry of Stein variational gradient descent JMLR 2023 Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023 Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective AAAI 2023 Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference ICML 2023 Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023