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Lower Bounds for Non-Convex Stochastic Optimization., , , , , и . CoRR, (2019)Element Level Differential Privacy: The Right Granularity of Privacy., , и . CoRR, (2019)Constrained Approximate Maximum Entropy Learning of Markov Random Fields., , , и . UAI, стр. 196-203. AUAI Press, (2008)Information-theoretic lower bounds for distributed statistical estimation with communication constraints., , , и . NIPS, стр. 2328-2336. (2013)Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation., , и . NIPS, стр. 1529-1537. (2013)Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems., , , и . NeurIPS, (2020)Minibatch Stochastic Approximate Proximal Point Methods., , , и . NeurIPS, (2020)Generalizing to Unseen Domains via Adversarial Data Augmentation., , , , , и . NeurIPS, стр. 5339-5349. (2018)FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis., , , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 8992-9004. PMLR, (2020)Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 2811-2827. PMLR, (2022)