Co-occurring keywords · papers mentioning both
Papers
Beyond Mean-Field: Tree-Copula Variational Autoencoders for Structured Latent Dependencies
UAI 2026
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
JMLR 2026
Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation
JMLR 2026
Emergence of meta-stable clustering in mean-field transformer models
ICLR 2025
Learning Set Functions with Implicit Differentiation
AAAI 2025
Mean-Field Microcanonical Gradient Descent
AISTATS 2025
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
COLT 2024
Amortized Network Intervention to Steer the Excitatory Point Processes
ICLR 2024
Amortized Variational Inference: When and Why?
UAI 2024
Mesoscopic modeling of hidden spiking neurons
NeurIPS 2022
Online Learning to Transport via the Minimal Selection Principle
COLT 2022
On the detrimental effect of invariances in the likelihood for variational inference
NeurIPS 2022
Structured variational inference in Bayesian state-space models
AISTATS 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data
AISTATS 2022
Collapsed Variational Bounds for Bayesian Neural Networks
NeurIPS 2021
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
NeurIPS 2021
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
NeurIPS 2021
Quantifying Variational Approximation for Log-Partition Function
COLT 2021
Bayesian Multi-type Mean Field Multi-agent Imitation Learning
NeurIPS 2020
Contrastive Divergence Learning with Chained Belief Propagation
PGM 2020
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation
ICML 2020
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations
NeurIPS 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
ICML 2020
Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models
AISTATS 2019
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
NeurIPS 2019