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Bayesian Inference

4,821 papers

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Papers

A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction ICCV 2021
Learning To Better Segment Objects From Unseen Classes With Unlabeled Videos ICCV 2021
Human Pose Regression With Residual Log-Likelihood Estimation ICCV 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process ICCV 2021
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval ICCV 2021
A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021
Deep kernel processes ICML 2021
Automatic variational inference with cascading flows ICML 2021
Sparse Bayesian Learning via Stepwise Regression ICML 2021
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021
Black-box density function estimation using recursive partitioning ICML 2021
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ICML 2021
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021
Multi-Receiver Online Bayesian Persuasion ICML 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
Bayesian Deep Learning via Subnetwork Inference ICML 2021
High-Dimensional Gaussian Process Inference with Derivatives ICML 2021
Kernel Continual Learning ICML 2021
Bayesian Optimization over Hybrid Spaces ICML 2021
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks ICML 2021