Bayesian & Probabilistic

Approximate Bayesian Computation via Classification JMLR 2022 Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022 A Predictive Approach to Bayesian Nonparametric Survival Analysis AISTATS 2022 A prior-based approximate latent Riemannian metric AISTATS 2022 A Probabilistic Framework for Land Deformation Prediction (Student Abstract) AAAI 2022 A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection CVPR 2022 A Reparameterization of Mixtures of Truncated Basis Functions and its Applications PGM 2022 A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits NeurIPS 2022 A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning NeurIPS 2022 A Transformational Characterization of Unconditionally Equivalent Bayesian Networks PGM 2022 A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training ICLR 2022 A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits AAAI 2022 AUTM flow: atomic unrestricted time machine for monotonic normalizing flows UAI 2022 AutoIP: A United Framework to Integrate Physics into Gaussian Processes ICML 2022 A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022 Backprop-Free Reinforcement Learning with Active Neural Generative Coding AAAI 2022 Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks AAAI 2022 BAM: Bayes with Adaptive Memory ICLR 2022 Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization NeurIPS 2022 Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems L4DC 2022 Batch Bayesian optimisation via density-ratio estimation with guarantees NeurIPS 2022 BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning ACML 2022 Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments ACML 2022 Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022 Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers NeurIPS 2022