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A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems.

, , , , , , , , , and . ACC, page 2958-2963. IEEE, (2019)

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Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds., and . CoRR, (2020)High-Dimensional Optimization in Adaptive Random Subspaces., , and . NeurIPS, page 10846-10856. (2019)A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems., , , , , , , , , and . ACC, page 2958-2963. IEEE, (2019)The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions., , and . ICLR, OpenReview.net, (2022)Optimal Randomized First-Order Methods for Least-Squares Problems., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5587-5597. PMLR, (2020)Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform., , , and . NeurIPS, (2020)Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5926-5936. PMLR, (2021)Globally Optimal Training of Neural Networks with Threshold Activation Functions., , , and . ICLR, OpenReview.net, (2023)Limiting Spectrum of Randomized Hadamard Transform and Optimal Iterative Sketching Methods., , , and . CoRR, (2020)Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization., and . NeurIPS, (2020)