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AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC.

, , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2142-2152. PMLR, (2020)

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Inference for probabilistic dependency graphs., , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1741-1751. PMLR, (2023)Shadow Cones: Unveiling Partial Orders in Hyperbolic Space., , , and . CoRR, (2023)Minibatch Gibbs Sampling on Large Graphical Models., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1173-1181. PMLR, (2018)Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling., , and . IJCAI, page 4811-4815. ijcai.org, (2017)SWALP : Stochastic Weight Averaging in Low Precision Training., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7015-7024. PMLR, (2019)Gaussian Quadrature for Kernel Features., , and . NIPS, page 6107-6117. (2017)Asymptotically Optimal Exact Minibatch Metropolis-Hastings., , and . NeurIPS, (2020)Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms., , , and . NIPS, page 2674-2682. (2015)Equivariant Manifold Flows., , , , , and . NeurIPS, page 10600-10612. (2021)Model Preserving Compression for Neural Networks., , , and . NeurIPS, (2022)