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Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains.

, , , and . ICCV, page 10570-10578. IEEE, (2019)

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Distributionally Robust Optimization with Bias and Variance Reduction., , , and . CoRR, (2023)Resource Constrained Neural Network Architecture Search., , and . CoRR, (2019)Robustness and Convergence of Mirror Descent for Blind Deconvolution., , and . ICASSP, page 1-5. IEEE, (2023)Robust Blind Deconvolution via Mirror Descent., , and . CoRR, (2018)On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging., , , , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 99-111. Springer, (2019)A Primal-Dual Algorithm for Faster Distributionally Robust Optimization., , and . CoRR, (2024)Stochastic Optimization for Spectral Risk Measures., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10112-10159. PMLR, (2023)Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains., , , and . ICCV, page 10570-10578. IEEE, (2019)Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?, , and . ICCV, page 1901-1910. IEEE, (2019)Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics., , , , , and . ISBI, page 1-4. IEEE, (2022)