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Loss function based second-order Jensen inequality and its application to particle variational inference., , , , и . NeurIPS, стр. 6803-6815. (2021)Skew-symmetrically perturbed gradient flow for convex optimization., , , и . ACML, том 157 из Proceedings of Machine Learning Research, стр. 721-736. PMLR, (2021)Information-theoretic Generalization Analysis for Expected Calibration Error., и . CoRR, (2024)Expectation Propagation for t-Exponential Family Using q-Algebra., , и . NIPS, стр. 2245-2254. (2017)Predictive variational Bayesian inference as risk-seeking optimization., , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 5051-5083. PMLR, (2022)Variational Inference based on Robust Divergences., , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 813-822. PMLR, (2018)Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time., , , , , и . CoRR, (2020)Information-theoretic Analysis of Bayesian Test Data Sensitivity., и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 1099-1107. PMLR, (2024)PAC-Bayes Analysis for Recalibration in Classification., и . CoRR, (2024)Frank-Wolfe Stein Sampling., , , и . CoRR, (2018)