Bayesian Inference

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals AISTATS 2022 Adapting the Linearised Laplace Model Evidence for Modern Deep Learning ICML 2022 Adaptive Gating for Single-Photon 3D Imaging CVPR 2022 Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022 Adaptive Information Belief Space Planning IJCAI 2022 ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models ICLR 2022 Additive Gaussian Processes Revisited ICML 2022 A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022 Adjoint-aided inference of Gaussian process driven differential equations NeurIPS 2022 Adversarial Attacks on Gaussian Process Bandits ICML 2022 Adversarial Interpretation of Bayesian Inference ALT 2022 A General Recipe for Likelihood-free Bayesian Optimization ICML 2022 A geometric method for improved uncertainty estimation in real-time UAI 2022 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022 AK: Attentive Kernel for Information Gathering RSS 2022 A Langevin-like Sampler for Discrete Distributions ICML 2022 Aligning Generative Language Models with Human Values NAACL 2022 Alleviating Adversarial Attacks on Variational Autoencoders with MCMC NeurIPS 2022 All You Need is a Good Functional Prior for Bayesian Deep Learning JMLR 2022 Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model CVPR 2022 Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation AISTATS 2022 Amortized Inference for Heterogeneous Reconstruction in Cryo-EM NeurIPS 2022 Amortized Mixing Coupling Processes for Clustering NeurIPS 2022 Amortized Rejection Sampling in Universal Probabilistic Programming AISTATS 2022 An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context NeurIPS 2022