Bayesian Inference

Global Perception Based Autoregressive Neural Processes ICCV 2023 Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors WACV 2023 Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023 Gradient-Free Kernel Stein Discrepancy NeurIPS 2023 Graph classification Gaussian processes via spectral features UAI 2023 Guided Deep Kernel Learning UAI 2023 Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation EMNLP 2023 Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees CoRL 2023 Heteroskedastic Geospatial Tracking with Distributed Camera Networks UAI 2023 Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023 Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration NeurIPS 2023 Hierarchical VAEs provide a normative account of motion processing in the primate brain NeurIPS 2023 High-Dimensional Dueling Optimization with Preference Embedding AAAI 2023 HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search CVPR 2023 How to Estimate Model Transferability of Pre-Trained Speech Models? Interspeech 2023 Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses NeurIPS 2023 Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks ACL 2023 Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters OSDI 2023 Hyperbolic VAE via Latent Gaussian Distributions NeurIPS 2023 Hyperparameter Optimization through Neural Network Partitioning ICLR 2023 HyperPosePDF - Hypernetworks Predicting the Probability Distribution on SO(3) WACV 2023 Hyperspectral Image Denoising Using Uncertainty-Aware Adjustor IJCAI 2023 Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information ICML 2023 Implicit Variational Inference for High-Dimensional Posteriors NeurIPS 2023 Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning NeurIPS 2023