Variational Inference

Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction NeurIPS 2024 Putting Back the Stops: Integrating Syntax with Neural Topic Models IJCAI 2024 Q-conjugate Message Passing for Efficient Bayesian Inference PGM 2024 Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024 Risk-sensitive control as inference with Rényi divergence NeurIPS 2024 Sample Average Approximation for Black-Box Variational Inference UAI 2024 Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024 Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NeurIPS 2024 Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024 Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024 Sparse Bayesian Generative Modeling for Compressive Sensing NeurIPS 2024 Sparse Variational Student-t Processes AAAI 2024 Stein Random Feature Regression UAI 2024 Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024 Streaming Bayes GFlowNets NeurIPS 2024 Symmetric Equilibrium Learning of VAEs AISTATS 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 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 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NeurIPS 2024 TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NeurIPS 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Variational Delayed Policy Optimization NeurIPS 2024 Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks JMLR 2024