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Bayesian Inference

5,566 papers

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Papers

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
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization 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
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021
Streaming Bayesian Deep Tensor Factorization ICML 2021
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design ICML 2021
Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021
Bayesian Quadrature on Riemannian Data Manifolds ICML 2021
On the difficulty of unbiased alpha divergence minimization ICML 2021
Differentially Private Quantiles ICML 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021