Bayesian Inference
1,087 papers
Papers per year
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28
33
40
39
33
38
52
63
58
43
49
23
27
48
52
52
67
55
94
91
101
'10
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'25
Papers
ACE: Adapting sampling for Counterfactual Explanations
L4DC 2026
Adaptive Bayesian Early-Exit Networks for Efficient Non-Transferable Learning
CVPR 2026
Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes
JMLR 2026
Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses
UAI 2026
Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied Agents
CVPR 2026
All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference
CVPR 2026
A Model of the Language Process
ACL 2026
An Empirical Bayes Perspective on Heteroskedastic Mean Estimation
COLT 2026
APIC: Amortized Physics-Informed Calibration using Neural Processes
UAI 2026
Assumed Density Filtering and Smoothing with Neural Network Surrogate Models
L4DC 2026
Avoiding exp($k^*$) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: From Multiple Seeds to a Single Seed
COLT 2026
B$^3$-Seg: Camera-Free, Training-Free 3DGS Segmentation via Analytic EIG and Beta-Bernoulli Bayesian Updates
CVPR 2026
BA-GS: Bayesian Adaptive Gaussian Splatting for SFM-Free 3D Reconstruction
CVPR 2026
Bayesian Adaptation Gym: A Benchmark for the Bayesian Low-Rank Adaptation of Multi-Modal Language Models
UAI 2026
Bayesian Causal Discovery in Directed Cyclic Graphs with Closed-Form Lag Bayes Factors
UAI 2026
Bayesian Causal Discovery Networks for Linear Mixed Data
CLeaR 2026
Bayesian Decomposition and Semantic Completion for Few-shot Semantic Segmentation
CVPR 2026
Bayesian Experimental Design via Score Matching
UAI 2026
Bayesian Hierarchical Invariant Prediction
CLeaR 2026
Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
JMLR 2026
Bayesian Symbolic Regression with Entropic Reinforcement Learning
UAI 2026
Beyond Bounds: Quantifying the Probability of Counterfactual Fairness
UAI 2026
Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition
CVPR 2026
Causal Discovery with Metadata-Informed Latent Types
UAI 2026
Conditional neural control variates for variance reduction in Bayesian inverse problems
UAI 2026