Bayesian Inference

Probabilistic Exponential Integrators NeurIPS 2023 Probabilistic Inference in Reinforcement Learning Done Right NeurIPS 2023 Probabilistic Invariance for Gaussian Process State Space Models L4DC 2023 Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs NeurIPS 2023 Probabilistic Reasoning and Learning for Trustworthy AI AAAI 2023 Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models L4DC 2023 Probabilistic Shape Models of Anatomy Directly from Images AAAI 2023 Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models ICML 2023 Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NeurIPS 2023 ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images AISTATS 2023 PROB: Probabilistic Objectness for Open World Object Detection CVPR 2023 Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation AAAI 2023 Protein Design with Guided Discrete Diffusion NeurIPS 2023 ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers NeurIPS 2023 Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval NeurIPS 2023 Prototype-oriented unsupervised anomaly detection for multivariate time series ICML 2023 Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond NeurIPS 2023 Provable convergence guarantees for black-box variational inference NeurIPS 2023 Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023 Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NeurIPS 2023 ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies AAAI 2023 Pseudo-Likelihood Inference NeurIPS 2023 qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023 Quantification of Uncertainty with Adversarial Models NeurIPS 2023 Quantized Compressed Sensing with Score-Based Generative Models ICLR 2023