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Bayesian Inference

5,566 papers

Papers per year

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Papers

On Unbiased Estimation for Partially Observed Diffusions JMLR 2024
Diffusion Priors for Variational Likelihood Estimation and Image Denoising NIPS 2024
Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields CVPR 2024
DNSMOS Pro: A Reduced-Size DNN for Probabilistic MOS of Speech INTERSPEECH 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC JMLR 2024
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints RSS 2024
Joint control variate for faster black-box variational inference AISTATS 2024
HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses IJCAI 2024
Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024
Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation COLING 2024
Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024
Uncertainty-Aware Mean Opinion Score Prediction INTERSPEECH 2024
Intervention and Conditioning in Causal Bayesian Networks NIPS 2024
Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence CONLL 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections CVPR 2024
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation AAAI 2024
Event-triggered safe Bayesian optimization on quadcopters L4DC 2024
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction IJCAI 2024
On cyclical MCMC sampling AISTATS 2024