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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024
Bayesian Online Learning for Consensus Prediction AISTATS 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024
Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024
Optimal Exploration is no harder than Thompson Sampling AISTATS 2024
Event-triggered safe Bayesian optimization on quadcopters L4DC 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NIPS 2024
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
Marginal Causal Flows for Validation and Inference NIPS 2024
Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024
Bayesian Diffusion Models for 3D Shape Reconstruction CVPR 2024
Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024
Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024
Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence CONLL 2024
Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems L4DC 2024
Centroid-Based Efficient Minimum Bayes Risk Decoding ACL 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024