Author of the publication

Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees.

, and . NeurIPS, page 4923-4932. (2019)

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

Rethinking Data Distillation: Do Not Overlook Calibration., , , , , , and . ICCV, page 4912-4922. IEEE, (2023)Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging., , and . AIES, page 15-25. ACM, (2023)Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent., , and . NeurIPS, (2022)Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees., and . NeurIPS, page 4923-4932. (2019)AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2142-2152. PMLR, (2020)Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction., , , , and . CoRR, (2023)A Langevin-like Sampler for Discrete Distributions., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 26375-26396. PMLR, (2022)Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7288-7310. PMLR, (2023)Large Scale Sparse Clustering., and . IJCAI, page 2336-2342. IJCAI/AAAI Press, (2016)Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning., , , , and . ICLR, OpenReview.net, (2020)