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Generalization Bounds for Stochastic Gradient Descent via Localized $\varepsilon$-Covers., , и . NeurIPS, (2022)Learning With End-Users in Distribution Grids: Topology and Parameter Estimation., , , и . IEEE Trans. Control. Netw. Syst., 7 (3): 1428-1440 (2020)Guiding Energy-based Models via Contrastive Latent Variables., , , и . ICLR, OpenReview.net, (2023)Spectral Approximate Inference., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 5052-5061. PMLR, (2019)Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models., , , , , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 440-449. PMLR, (2017)Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality., , , , и . IEEE Trans. Inf. Theory, 64 (3): 1471-1480 (2018)Practical message-passing framework for large-scale combinatorial optimization., , , , и . IEEE BigData, стр. 24-31. IEEE Computer Society, (2015)Direct Demonstration-Based Imitation Learning and Control for Writing Task of Robot Manipulator., , и . ICCE, стр. 1-3. IEEE, (2023)What does automatic differentiation compute for neural networks?, , и . ICLR, OpenReview.net, (2024)Expressive power of ReLU and step networks under floating-point operations., , , и . Neural Networks, (2024)