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PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach., , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6727-6736. PMLR, (2019)Inexact SARAH Algorithm for Stochastic Optimization., , and . CoRR, (2018)Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches., , , and . ICDM, page 1145-1150. IEEE, (2023)Attacking c-MARL More Effectively: A Data Driven Approach., , , , , and . ICDM, page 1271-1276. IEEE, (2023)A Unified Convergence Analysis for Shuffling-Type Gradient Methods., , , , and . CoRR, (2020)A Service System with Randomly Behaving On-demand Agents., and . SIGMETRICS, page 365-366. ACM, (2016)Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD., , and . NeurIPS, page 3660-3669. (2019)TabularFM: An Open Framework For Tabular Foundational Models., , , , and . CoRR, (2024)Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach., , , , and . CoRR, (2023)Analyzing Generalization of Neural Networks through Loss Path Kernels., , , , , , and . NeurIPS, (2023)