Variational Inference

Generalized Variational Inference via Optimal Transport AAAI 2024 Globally Convergent Variational Inference NeurIPS 2024 Idiographic Personality Gaussian Process for Psychological Assessment NeurIPS 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NeurIPS 2024 Improved off-policy training of diffusion samplers NeurIPS 2024 Inferring stochastic low-rank recurrent neural networks from neural data NeurIPS 2024 Learning Diffusion Priors from Observations by Expectation Maximization NeurIPS 2024 Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024 Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals NeurIPS 2024 Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024 Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems JMLR 2024 Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024 Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024 Mixed variational flows for discrete variables AISTATS 2024 Mutual Information Estimation via Normalizing Flows NeurIPS 2024 Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024 Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling CVPR 2024 On Divergence Measures for Training GFlowNets NeurIPS 2024 On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024 On the Quantification of Image Reconstruction Uncertainty Without Training Data WACV 2024 Optimising Distributions with Natural Gradient Surrogates AISTATS 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NeurIPS 2024 Preferential Normalizing Flows NeurIPS 2024 Provable Posterior Sampling with Denoising Oracles via Tilted Transport NeurIPS 2024