Bayesian Inference

Learning Neural Set Functions Under the Optimal Subset Oracle NeurIPS 2022 Learning Optimal Conformal Classifiers ICLR 2022 Learning Optimal Flows for Non-Equilibrium Importance Sampling NeurIPS 2022 Learning Probabilistic Models from Generator Latent Spaces with Hat EBM NeurIPS 2022 Learning Structured Gaussians To Approximate Deep Ensembles CVPR 2022 Learning the Beauty in Songs: Neural Singing Voice Beautifier ACL 2022 Learning to Generalize across Domains on Single Test Samples ICLR 2022 Learning Tractable Probabilistic Models from Inconsistent Local Estimates NeurIPS 2022 Lifted Division for Lifted Hugin Belief Propagation AISTATS 2022 Local Bayesian optimization via maximizing probability of descent NeurIPS 2022 Local Differential Privacy for Belief Functions AAAI 2022 Local Latent Space Bayesian Optimization over Structured Inputs NeurIPS 2022 Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022 Low-precision arithmetic for fast Gaussian processes UAI 2022 Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022 LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022 Machine Learning for Online Algorithm Selection under Censored Feedback AAAI 2022 Machine Learning for Utility Prediction in Argument-Based Computational Persuasion AAAI 2022 Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels NeurIPS 2022 Many processors, little time: MCMC for partitions via optimal transport couplings AISTATS 2022 Map Induction: Compositional spatial submap learning for efficient exploration in novel environments ICLR 2022 Marginalising over Stationary Kernels with Bayesian Quadrature AISTATS 2022 Marginal MAP estimation for inverse RL under occlusion with observer noise UAI 2022 Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022 Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors NeurIPS 2022