Bayesian Inference

Improving Neural Additive Models with Bayesian Principles ICML 2024 Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024 IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark NeurIPS 2024 In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization ICML 2024 Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning ICML 2024 Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024 Inferring stochastic low-rank recurrent neural networks from neural data NeurIPS 2024 Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models NeurIPS 2024 Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024 Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models ICLR 2024 Input-gradient space particle inference for neural network ensembles ICLR 2024 Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator ECCV 2024 InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models ICML 2024 InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes ICLR 2024 Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024 Intervention and Conditioning in Causal Bayesian Networks NeurIPS 2024 Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024 Inversion-based Latent Bayesian Optimization NeurIPS 2024 Investigating the Impact of Model Instability on Explanations and Uncertainty ACL 2024 Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? ICML 2024 Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective ICML 2024 Joint Composite Latent Space Bayesian Optimization ICML 2024 Joint control variate for faster black-box variational inference AISTATS 2024 Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms CVPR 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024