Author of the publication

Stochastic Gradient MCMC Methods for Hidden Markov Models.

, , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2265-2274. PMLR, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Stochastic Gradient MCMC Methods for Hidden Markov Models., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2265-2274. PMLR, (2017)Irreversible samplers from jump and continuous Markov processes., , , and . Stat. Comput., 29 (1): 177-202 (2019)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , and 30 other author(s). CoRR, (2020)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)Is There an Analog of Nesterov Acceleration for MCMC?, , , , , and . CoRR, (2019)Deep Mixture of Experts via Shallow Embedding., , , , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 552-562. AUAI Press, (2019)Quantifying Uncertainty in Deep Spatiotemporal Forecasting., , , , , , and . KDD, page 1841-1851. ACM, (2021)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)When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint., , and . J. Mach. Learn. Res., (2022)