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Stochastic Gradient MCMC Methods for Hidden Markov Models., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2265-2274. PMLR, (2017)Stochastic Gradient MCMC for State Space Models., , , and . SIAM J. Math. Data Sci., 1 (3): 555-587 (2019)Discovering Mixtures of Structural Causal Models from Time Series Data., , and . CoRR, (2023)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , and 30 other author(s). CoRR, (2020)Is There an Analog of Nesterov Acceleration for MCMC?, , , , , and . CoRR, (2019)Irreversible samplers from jump and continuous Markov processes., , , and . Stat. Comput., 29 (1): 177-202 (2019)Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors., , , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2782-2792. PMLR, (2020)Quantifying Uncertainty in Deep Spatiotemporal Forecasting., , , , , , and . KDD, page 1841-1851. ACM, (2021)Deep Mixture of Experts via Shallow Embedding., , , , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 552-562. AUAI Press, (2019)Aiming towards the minimizers: fast convergence of SGD for overparametrized problems., , , , and . CoRR, (2023)