variational inference

Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians ICML 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 The Star Geometry of Critic-Based Regularizer Learning NeurIPS 2024 Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024 Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach AISTATS 2024 Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024 Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation AAAI 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference ICLR 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NeurIPS 2024 Transport meets Variational Inference: Controlled Monte Carlo Diffusions ICLR 2024 TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NeurIPS 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NeurIPS 2024 Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport AAAI 2024 Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning AAAI 2024 Variational Bayesian Last Layers ICLR 2024 Variational Delayed Policy Optimization NeurIPS 2024 Variational Distillation of Diffusion Policies into Mixture of Experts NeurIPS 2024 Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks JMLR 2024 Variational Flow Matching for Graph Generation NeurIPS 2024 Variational Gaussian Process Diffusion Processes AISTATS 2024 Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection AAAI 2024 Variational Inference for SDEs Driven by Fractional Noise ICLR 2024 Variational Inference with Coverage Guarantees in Simulation-Based Inference ICML 2024