Variational Inference

Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression JMLR 2024 A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024 Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024 Amortized Variational Inference: When and Why? UAI 2024 A probability contrastive learning framework for 3D molecular representation learning NeurIPS 2024 A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024 Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NeurIPS 2024 Bayesian Pseudo-Coresets via Contrastive Divergence UAI 2024 Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024 Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Diffusion Priors for Variational Likelihood Estimation and Image Denoising NeurIPS 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024 Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NeurIPS 2024 Efficient Variational Sequential Information Control AISTATS 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder AAAI 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 Gated Inference Network: Inference and Learning State-Space Models NeurIPS 2024