Nonparametric Matrix Estimation with One-Sided Covariates. (arXiv:2110.13969v1 [stat.ML])

Rademacher Random Projections with Tensor Networks. (arXiv:2110.13970v1 [cs.LG])

Learning Collaborative Policies to Solve NP-hard Routing Problems. (arXiv:2110.13987v1 [cs.LG])

Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning. (arXiv:2110.14000v1 [cs.LG])

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data. (arXiv:2110.14001v1 [cs.LG])

CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator. (arXiv:2110.14002v1 [cs.LG])

Cluster-and-Conquer: A Framework For Time-Series Forecasting. (arXiv:2110.14011v1 [cs.LG])

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification. (arXiv:2110.14012v1 [stat.ML])

Measuring and Modeling Neighborhoods. (arXiv:2110.14014v1 [stat.AP])

Faster Perturbed Stochastic Gradient Methods for Finding Local Minima. (arXiv:2110.13144v1 [math.OC])

Quantum machine learning beyond kernel methods. (arXiv:2110.13162v1 [quant-ph])

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals. (arXiv:2110.13216v1 [stat.CO])

Demystifying and Generalizing BinaryConnect. (arXiv:2110.13220v1 [cs.LG])

A Constructive Proof of the Glivenko-Cantelli Theorem. (arXiv:2110.13236v1 [math.PR])

Integrative Clustering of Multi-View Data by Nonnegative Matrix Factorization. (arXiv:2110.13240v1 [stat.ML])

Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust. (arXiv:2110.13262v1 [econ.EM])

Scalable Bayesian divergence time estimation with ratio transformations. (arXiv:2110.13298v1 [q-bio.PE])

Robust Learning of Physics Informed Neural Networks. (arXiv:2110.13330v1 [cs.LG])

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