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