Bayesian Inference

Slice Sampling Reparameterization Gradients NeurIPS 2021 SNIPS: Solving Noisy Inverse Problems Stochastically NeurIPS 2021 Soft Tensor Regression JMLR 2021 SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables IJCAI 2021 Sparse Algorithms for Markovian Gaussian Processes AISTATS 2021 Sparse Bayesian Learning via Stepwise Regression ICML 2021 Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NeurIPS 2021 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations AISTATS 2021 Sparse Multi-Path Corrections in Fringe Projection Profilometry CVPR 2021 Sparse Uncertainty Representation in Deep Learning with Inducing Weights NeurIPS 2021 Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021 Spatial Uncertainty-Aware Semi-Supervised Crowd Counting ICCV 2021 Spatio-Temporal Variational Gaussian Processes NeurIPS 2021 Speaker-Conversation Factorial Designs for Diarization Error Analysis Interspeech 2021 Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation Interspeech 2021 Spherical Confidence Learning for Face Recognition CVPR 2021 Spot the Difference: Detection of Topological Changes via Geometric Alignment NeurIPS 2021 Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021 Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser NeurIPS 2021 Streaming Bayesian Deep Tensor Factorization ICML 2021 STRODE: Stochastic Boundary Ordinary Differential Equation ICML 2021 Structured Dropout Variational Inference for Bayesian Neural Networks NeurIPS 2021 Subseasonal climate prediction in the western US using Bayesian spatial models UAI 2021 Subset-of-data variational inference for deep Gaussian-processes regression UAI 2021 System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice Comparison Interspeech 2021