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On solving integral equations using Markov chain Monte Carlo methods., , and . Appl. Math. Comput., 216 (10): 2869-2880 (2010)Reinforced Self-Training (ReST) for Language Modeling, , , , , , , , , and 4 other author(s). (2023)cite arxiv:2308.08998Comment: 23 pages, 16 figures.Sequential Monte Carlo Methods to Train Neural Network Models., , , and . Neural Comput., 12 (4): 955-993 (2000)Interacting Particle Markov Chain Monte Carlo., , , , , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 2616-2625. JMLR.org, (2016)Non-Reversible Parallel Tempering: an Embarassingly Parallel MCMC Scheme, , , and . (2019)cite arxiv:1905.02939Comment: 61 pages, 18 figures. The method is implemented in an open source probabilistic programming available at https://github.com/UBC-Stat-ML/blangSDK.Modular Meta-Learning with Shrinkage, , , , , , and . (2019)cite arxiv:1909.05557Comment: 14 pages (4 main, 8 supplement), under review.Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo., , and . ICASSP (3), page 640-643. IEEE, (2006)Fast particle smoothing: if I had a million particles., , , , , and . ICML, volume 148 of ACM International Conference Proceeding Series, page 481-488. ACM, (2006)Dual Space Preconditioning for Gradient Descent, , , and . (2019)cite arxiv:1902.02257Comment: Major revision, including simpler equivalent conditions for dual relative smoothness and applications to exponential penalty functions and p-norm regression.Derivative-Free Estimation of the Score Vector and Observed Information Matrix with Application to State-Space Models, , and . (2013)cite arxiv:1304.5768Comment: Technical report, 43 pages, 7 figures.