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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division IJCAI 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024
Learning with Posterior Sampling for Revenue Management under Time-varying Demand IJCAI 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024
Stein Variational Ergodic Search RSS 2024
You’ve Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction RSS 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024
A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024
A Bayesian Approach to OOD Robustness in Image Classification CVPR 2024
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024
Structured Probabilistic Coding AAAI 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024
Spatial properties of Bayesian unsupervised trees COLT 2024
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments AAAI 2024
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024
MAP- and MLE-Based Teaching JMLR 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints RSS 2024