Bayesian Inference

Simulation-Based Inference with Quantile Regression ICML 2024 Simulation-Based Stacking AISTATS 2024 Simultaneous identification of models and parameters of scientific simulators ICML 2024 Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NeurIPS 2024 Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability AAAI 2024 Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NeurIPS 2024 Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024 Sparse Bayesian Generative Modeling for Compressive Sensing NeurIPS 2024 Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference ICML 2024 Sparse is Enough in Fine-tuning Pre-trained Large Language Models ICML 2024 Spatial meshing for general Bayesian multivariate models JMLR 2024 Spatial properties of Bayesian unsupervised trees COLT 2024 Stein Variational Ergodic Search RSS 2024 Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 Stochastic Localization via Iterative Posterior Sampling ICML 2024 Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach IJCAI 2024 Streaming Bayes GFlowNets NeurIPS 2024 Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning CVPR 2024 Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024 Structured Probabilistic Coding AAAI 2024 Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024 SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024 Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024