Bayesian Inference
6,267 papers
Papers per year
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104
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Papers
Nested Expectations with Kernel Quadrature
ICML 2025
Neural Conformal Control for Time Series Forecasting
AAAI 2025
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
IJCAI 2025
New Bounds for Sparse Variational Gaussian Processes
ICML 2025
New Compilation Languages Based on Restricted Weak Decomposability
AAAI 2025
Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising
ICCV 2025
Noise-Aware Differentially Private Variational Inference
AISTATS 2025
Nonlinear multiregion neural dynamics with parametric impulse response communication channels
ICLR 2025
Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
JMLR 2025
NUTMEG: Separating Signal From Noise in Annotator Disagreement
EMNLP 2025
On Bits and Bandits: Quantifying the Regret-Information Trade-off
ICLR 2025
On Consistent Bayesian Inference from Synthetic Data
JMLR 2025
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
ICML 2025
One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models
ACL 2025
On Local Posterior Structure in Deep Ensembles
AISTATS 2025
On the Convergence of Min-Max Langevin Dynamics and Algorithm
COLT 2025
On the Natural Gradient of the Evidence Lower Bound
JMLR 2025
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs
EMNLP 2025
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts
EMNLP 2025
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
ICLR 2025
Optimization Proxies using Limited Labeled Data and Training Time – A Semi-Supervised Bayesian Neural Network Approach
ICML 2025
Optimizing Heat Alert Issuance with Reinforcement Learning
AAAI 2025
Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
ICLR 2025
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
ICML 2025
PAC-Bayes Analysis for Recalibration in Classification
ICML 2025