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marginal distribution

31 papers

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Co-occurring keywords

graphical model (864) probabilistic inference (312) bayesian inference (1907) probabilistic modeling (852) joint distribution (28) generative model (2892) domain adaptation (4595) sampling algorithm (130) copula model (14) neural network (6616)

Papers

GiFT: Gibbs Fine-Tuning for Code Generation ACL 2025
Nonparametric Copula Models for Multivariate, Mixed, and Missing Data JMLR 2024
On Tail Decay Rate Estimation of Loss Function Distributions JMLR 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks ICML 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs) NIPS 2023
Squared Neural Families: A New Class of Tractable Density Models NIPS 2023
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization ICML 2022
On the Learning of Non-Autoregressive Transformers ICML 2022
Probabilistic Programs with Stochastic Conditioning ICML 2021
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift EACL 2021
Domain Generalization by Marginal Transfer Learning JMLR 2021
Steady State Analysis of Episodic Reinforcement Learning NIPS 2020
Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2020
ASR-Free Pronunciation Assessment INTERSPEECH 2020
ACFlow: Flow Models for Arbitrary Conditional Likelihoods ICML 2020
Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference? UAI 2019
Fast and Flexible Inference of Joint Distributions from their Marginals ICML 2019
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets ICML 2018
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NIPS 2018
Joint Probabilistic Matching Using m-Best Solutions CVPR 2016
Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015
Symmetric Iterative Proportional Fitting AISTATS 2015
Marginals-to-Models Reducibility NIPS 2013
The Randomized Dependence Coefficient NIPS 2013
What do row and column marginals reveal about your dataset? NIPS 2013