arXiv Statistics @arxiv_stats@qoto.org

Boosted CVaR Classification. (arXiv:2110.13948v1 [cs.LG]) http://arxiv.org/abs/2110.13948

Nonparametric Matrix Estimation with One-Sided Covariates. (arXiv:2110.13969v1 [stat.ML]) http://arxiv.org/abs/2110.13969

Rademacher Random Projections with Tensor Networks. (arXiv:2110.13970v1 [cs.LG]) http://arxiv.org/abs/2110.13970

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

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

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

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

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

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

Measuring and Modeling Neighborhoods. (arXiv:2110.14014v1 [stat.AP]) http://arxiv.org/abs/2110.14014

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

Quantum machine learning beyond kernel methods. (arXiv:2110.13162v1 [quant-ph]) http://arxiv.org/abs/2110.13162

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

Demystifying and Generalizing BinaryConnect. (arXiv:2110.13220v1 [cs.LG]) http://arxiv.org/abs/2110.13220

Prediction-focused Mixture Models. (arXiv:2110.13221v1 [cs.LG]) http://arxiv.org/abs/2110.13221

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

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

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

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

Robust Learning of Physics Informed Neural Networks. (arXiv:2110.13330v1 [cs.LG]) http://arxiv.org/abs/2110.13330