Variational Inference
275 papers
Papers per year
4
7
6
2
7
7
8
13
13
16
9
6
5
12
32
15
26
18
10
32
27
'10
'15
'20
'25
Papers
VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck
ACL 2026
What Type of Inference is Active Inference?
UAI 2026
Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference
UAI 2025
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
AISTATS 2025
Approximate Bayesian Inference via Bitstring Representations
UAI 2025
A Trust-Region Method for Graphical Stein Variational Inference
UAI 2025
A Variational Approach for Mitigating Entity Bias in Relation Extraction
ACL 2025
Batch, match, and patch: low-rank approximations for score-based variational inference
AISTATS 2025
Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing
Interspeech 2025
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
ICLR 2025
DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing
L4DC 2025
ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks
UAI 2025
Enhance Vision-Language Alignment with Noise
AAAI 2025
Epistemic Uncertainty and Excess Risk in Variational Inference
AISTATS 2025
Fairness Risks for Group-Conditionally Missing Demographics
AISTATS 2025
Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable
AISTATS 2025
Flat Posterior Does Matter For Bayesian Model Averaging
UAI 2025
Improved Variational Inference in Discrete VAEs using Error Correcting Codes
UAI 2025
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
AISTATS 2025
Koopman-Equivariant Gaussian Processes
AISTATS 2025
Long-time asymptotics of noisy SVGD outside the population limit
ICLR 2025
Multi-view Privileged Information-based Representation Learning for Liver Cancer Diagnosis
ACML 2025
Recursive Learning of Asymptotic Variational Objectives
AISTATS 2025
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
UAI 2025
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
AAAI 2025