Summary of Continuous-time Riemannian Sgd and Svrg Flows on Wasserstein Probabilistic Space, by Mingyang Yi et al.
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Spaceby Mingyang Yi, Bohan WangFirst submitted…
Summary of Compositional Generative Inverse Design, by Tailin Wu et al.
Compositional Generative Inverse Designby Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca…
Summary of Self-improving Interference Management Based on Deep Learning with Uncertainty Quantification, by Hyun-suk Lee et al.
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantificationby Hyun-Suk Lee, Do-Yup Kim, Kyungsik…
Summary of On Principled Local Optimization Methods For Federated Learning, by Honglin Yuan
On Principled Local Optimization Methods for Federated Learningby Honglin YuanFirst submitted to arxiv on: 24…
Summary of Deep Multitask Neural Networks For Solving Some Stochastic Optimal Control Problems, by Christian Yeo
Deep multitask neural networks for solving some stochastic optimal control problemsby Christian YeoFirst submitted to…
Summary of Binary Feature Mask Optimization For Feature Selection, by Mehmet E. Lorasdagi et al.
Binary Feature Mask Optimization for Feature Selectionby Mehmet E. Lorasdagi, Mehmet Y. Turali, Suleyman S.…
Summary of Mini-batch Submodular Maximization, by Gregory Schwartzman
Mini-batch Submodular Maximizationby Gregory SchwartzmanFirst submitted to arxiv on: 23 Jan 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Adiabatic Quantum Support Vector Machines, by Prasanna Date et al.
Adiabatic Quantum Support Vector Machinesby Prasanna Date, Dong Jun Woun, Kathleen Hamilton, Eduardo A. Coello…
Summary of On the Stochastic (variance-reduced) Proximal Gradient Method For Regularized Expected Reward Optimization, by Ling Liang and Haizhao Yang
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimizationby Ling Liang, Haizhao…
Summary of Fast Semisupervised Unmixing Using Nonconvex Optimization, by Behnood Rasti (hzdr) et al.
Fast Semisupervised Unmixing Using Nonconvex Optimizationby Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn ChanussotFirst submitted…