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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)The Benefits of Balance: From Information Projections to Variance Reduction., , , and . CoRR, (2024)Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging., , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 809-819. AUAI Press, (2019)DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer., , , , , , and . ICCV, page 10610-10619. IEEE, (2019)Deep Unlearning via Randomized Conditionally Independent Hessians., , , and . CVPR, page 10412-10421. IEEE, (2022)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)