conftrace_

discrete variable

13 papers

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Co-occurring keywords

structure learning (341) markov chain monte carlo (725) graphical model (864) generative model (2892) probabilistic modeling (852) representation learning (6206) high order potential (2) metropolis-hastings sampler (4) symmetric noise (3) count datum (17)

Papers

CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis ICML 2023
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise AISTATS 2022
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021
Structure Learning of Undirected Graphical Models for Count Data JMLR 2021
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders EMNLP 2021
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NIPS 2020
Efficient Learning of Discrete Graphical Models NIPS 2020
Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
Flexible sampling of discrete data correlations without the marginal distributions NIPS 2013
The Neural Autoregressive Distribution Estimator AISTATS 2011
HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010
Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004