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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation AAAI 2024
Graph Bayesian Optimization for Multiplex Influence Maximization AAAI 2024
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization AAAI 2024
A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024
Modeling Random Networks with Heterogeneous Reciprocity JMLR 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024
Spatial properties of Bayesian unsupervised trees COLT 2024
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints RSS 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024
Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence CONLL 2024
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024
Event-triggered safe Bayesian optimization on quadcopters L4DC 2024
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics IJCAI 2024
Regression Aware Inference with LLMs EMNLP 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NIPS 2024
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models IJCAI 2024
Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems L4DC 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024