← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Variational Inference

767 directly classified papers

Papers per year

Papers

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023
MixFlows: principled variational inference via mixed flows ICML 2023
Bit Allocation using Optimization ICML 2023
Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023
A theory of continuous generative flow networks ICML 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023
RevUp: Revise and Update Information Bottleneck for Event Representation EACL 2023
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders ICML 2023
Variational Open-Domain Question Answering ICML 2023
GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference ICML 2023
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023
Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry AAAI 2023
Disentangled Representation for Causal Mediation Analysis AAAI 2023
Variational Boosted Soft Trees AISTATS 2023
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation AAAI 2023
Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023
Actually Sparse Variational Gaussian Processes AISTATS 2023
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023
Neural Markov Jump Processes ICML 2023