Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. (arXiv:2008.09149v1 [math.OC]) http://arxiv.org/abs/2008.09149
Variance and covariance of distributions on graphs. (arXiv:2008.09155v1 [physics.soc-ph]) http://arxiv.org/abs/2008.09155
NoPeek: Information leakage reduction to share activations in distributed deep learning. (arXiv:2008.09161v1 [cs.LG]) http://arxiv.org/abs/2008.09161
Linear Optimal Transport Embedding: Provable fast Wasserstein distance computation and classification for nonlinear problems. (arXiv:2008.09165v1 [stat.ML]) http://arxiv.org/abs/2008.09165
Imitation Learning with Sinkhorn Distances. (arXiv:2008.09167v1 [cs.LG]) http://arxiv.org/abs/2008.09167
Spatial homogeneity learning for spatially correlated functional data with application to COVID-19 Growth rate curves. (arXiv:2008.09227v1 [stat.AP]) http://arxiv.org/abs/2008.09227
Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization. (arXiv:2008.09239v1 [stat.ML]) http://arxiv.org/abs/2008.09239
Anomaly Detection on Seasonal Metrics via Robust Time Series Decomposition. (arXiv:2008.09245v1 [stat.AP]) http://arxiv.org/abs/2008.09245
A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy. (arXiv:2008.09246v1 [cs.LG]) http://arxiv.org/abs/2008.09246
Neural Networks and Quantum Field Theory. (arXiv:2008.08601v1 [cs.LG]) http://arxiv.org/abs/2008.08601
Linearized Optimal Transport for Collider Events. (arXiv:2008.08604v1 [hep-ph]) http://arxiv.org/abs/2008.08604
The effect of data encoding on the expressive power of variational quantum machine learning models. (arXiv:2008.08605v1 [quant-ph]) http://arxiv.org/abs/2008.08605
Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks. (arXiv:2008.08617v1 [cs.LG]) http://arxiv.org/abs/2008.08617
Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models. (arXiv:2008.08624v1 [cs.LG]) http://arxiv.org/abs/2008.08624
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. (arXiv:2008.08637v1 [stat.ML]) http://arxiv.org/abs/2008.08637
$\ell_p$-Norm Multiple Kernel One-Class Fisher Null-Space. (arXiv:2008.08642v1 [cs.LG]) http://arxiv.org/abs/2008.08642
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation. (arXiv:2008.08648v1 [stat.ME]) http://arxiv.org/abs/2008.08648
A new role for circuit expansion for learning in neural networks. (arXiv:2008.08653v1 [cond-mat.dis-nn]) http://arxiv.org/abs/2008.08653
Segmenting Bank Customers via RFM Model and Unsupervised Machine Learning. (arXiv:2008.08662v1 [cs.LG]) http://arxiv.org/abs/2008.08662
mlr3proba: Machine Learning Survival Analysis in R. (arXiv:2008.08080v1 [stat.CO]) http://arxiv.org/abs/2008.08080
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