Gaussian Process for Trajectories. (arXiv:2110.03712v1 [stat.ML]) http://arxiv.org/abs/2110.03712
Global sensitivity analysis in probabilistic graphical models. (arXiv:2110.03749v1 [stat.ML]) http://arxiv.org/abs/2110.03749
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. (arXiv:2110.03753v1 [cs.LG]) http://arxiv.org/abs/2110.03753
De-randomizing MCMC dynamics with the diffusion Stein operator. (arXiv:2110.03768v1 [stat.ML]) http://arxiv.org/abs/2110.03768
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding. (arXiv:2110.03789v1 [cs.LG]) http://arxiv.org/abs/2110.03789
Scaling Bayesian Optimization With Game Theory. (arXiv:2110.03790v1 [cs.LG]) http://arxiv.org/abs/2110.03790
Inference for a Large Directed Graphical Model with Interventions. (arXiv:2110.03805v1 [stat.ME]) http://arxiv.org/abs/2110.03805
Estimation of Constrained Mean-Covariance of Normal Distributions. (arXiv:2110.03819v1 [stat.ME]) http://arxiv.org/abs/2110.03819
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. (arXiv:2110.03825v1 [cs.LG]) http://arxiv.org/abs/2110.03825
A meta-analytic framework to adjust for bias in external control studies. (arXiv:2110.03827v1 [stat.ME]) http://arxiv.org/abs/2110.03827
A Stochastic Newton Algorithm for Distributed Convex Optimization. (arXiv:2110.02954v1 [math.OC]) http://arxiv.org/abs/2110.02954
Efficient Methods for Online Multiclass Logistic Regression. (arXiv:2110.03020v1 [cs.LG]) http://arxiv.org/abs/2110.03020
Tribuo: Machine Learning with Provenance in Java. (arXiv:2110.03022v1 [cs.LG]) http://arxiv.org/abs/2110.03022
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests. (arXiv:2110.03031v1 [cs.LG]) http://arxiv.org/abs/2110.03031
Ensemble Kalman Inversion for General Likelihoods. (arXiv:2110.03034v1 [stat.ME]) http://arxiv.org/abs/2110.03034
A Survey on Evidential Deep Learning For Single-Pass Uncertainty Estimation. (arXiv:2110.03051v1 [cs.LG]) http://arxiv.org/abs/2110.03051
Fast methods for posterior inference of two-group normal-normal models. (arXiv:2110.03055v1 [stat.CO]) http://arxiv.org/abs/2110.03055
A Critical Review of the Baseline Soldier Physical Readiness Requirements Study. (arXiv:2110.03062v1 [stat.AP]) http://arxiv.org/abs/2110.03062
Interpretable Machine Learning for Genomics. (arXiv:2110.03063v1 [stat.AP]) http://arxiv.org/abs/2110.03063
Robust Algorithms for GMM Estimation: A Finite Sample Viewpoint. (arXiv:2110.03070v1 [stat.ML]) http://arxiv.org/abs/2110.03070
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