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Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks.

, , , and . AAAI, page 1788-1794. AAAI Press, (2016)

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Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning, , , , and . (2019)cite arxiv:1902.03932.Learning Structural Weight Uncertainty for Sequential Decision-Making., , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1137-1146. PMLR, (2018)Towards Understanding Adversarial Learning for Joint Distribution Matching., , , , , , and . CoRR, (2017)Improved Baselines with Visual Instruction Tuning., , , and . CoRR, (2023)Hierarchical Graph Capsule Network., , , , , , and . CoRR, (2020)Towards Better Representations with Deep/Bayesian Learning.. Duke University, Durham, NC, USA, (2018)base-search.net (ftdukeunivdsp:oai:localhost:10161/18207).A Deep Generative Deconvolutional Image Model., , , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 741-750. JMLR.org, (2016)Parameter-Efficient Model Adaptation for Vision Transformers., , , , and . AAAI, page 817-825. AAAI Press, (2023)Stochastic Gradient MCMC with Stale Gradients., , , , and . NIPS, page 2937-2945. (2016)Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms., , , , , , , , and . ACL (1), page 440-450. Association for Computational Linguistics, (2018)