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Kernel Thinning., and . COLT, volume 134 of Proceedings of Machine Learning Research, page 1753. PMLR, (2021)Distribution Compression in Near-Linear Time., , and . ICLR, OpenReview.net, (2022)Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1866-1876. PMLR, (2020)FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations., , and . CoRR, (2024)Generalized Kernel Thinning., and . ICLR, OpenReview.net, (2022)Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients., , , and . J. Mach. Learn. Res., (2020)Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients., , , and . CoRR, (2019)Vaidya walk: A sampling algorithm based on the volumetric barrier., , , and . Allerton, page 1220-1227. IEEE, (2017)Log-concave sampling: Metropolis-Hastings algorithms are fast!, , , and . COLT, volume 75 of Proceedings of Machine Learning Research, page 793-797. PMLR, (2018)Compress Then Test: Powerful Kernel Testing in Near-linear Time., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 1174-1218. PMLR, (2023)