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gibbs sampling

201 papers

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Co-occurring keywords

bayesian inference (1907) markov chain monte carlo (725) bayesian nonparametrics (270) variational inference (2069) topic model (290) dirichlet process (132) gibbs sampler (37) graphical model (864) topic modeling (461) nonparametric bayesian (124)

Papers

Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data AAAI 2026
GiFT: Gibbs Fine-Tuning for Code Generation ACL 2025
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024
Rationale-based Opinion Summarization NAACL 2024
Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction JMLR 2024
On a Class of Gibbs Sampling over Networks COLT 2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling ICML 2023
Moment Matching Denoising Gibbs Sampling NIPS 2023
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process JMLR 2023
Gibbsian Polar Slice Sampling ICML 2023
Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates JMLR 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023
Scalable Spike-and-Slab ICML 2022
Generative Flow Networks for Discrete Probabilistic Modeling ICML 2022
A Langevin-like Sampler for Discrete Distributions ICML 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022
Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters AAAI 2021
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021
Hierarchical infinite relational model UAI 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective AAAI 2021
Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks UAI 2020