arXiv Statistics @arxiv_stats@qoto.org

Machine Learning on Graphs: A Model and Comprehensive Taxonomy. (arXiv:2005.03675v1 [cs.LG]) http://arxiv.org/abs/2005.03675

COBRA: Contrastive Bi-Modal Representation Algorithm. (arXiv:2005.03687v1 [cs.LG]) http://arxiv.org/abs/2005.03687

High-Dimensional Inference Based on the Leave-One-Covariate-Out LASSO Path. (arXiv:2005.03694v1 [stat.ME]) http://arxiv.org/abs/2005.03694

Proving prediction prudence. (arXiv:2005.03698v1 [q-fin.RM]) http://arxiv.org/abs/2005.03698

Modelling arterial travel time distribution using copulas. (arXiv:2005.03699v1 [stat.AP]) http://arxiv.org/abs/2005.03699

A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes. (arXiv:2005.03718v1 [cs.LG]) http://arxiv.org/abs/2005.03718

Lower bounds in multiple testing: A framework based on derandomized proxies. (arXiv:2005.03725v1 [math.ST]) http://arxiv.org/abs/2005.03725

The Strong Screening Rule for SLOPE. (arXiv:2005.03730v1 [stat.ML]) http://arxiv.org/abs/2005.03730

Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes. (arXiv:2005.03750v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2005.03750

Adaptive Invariance for Molecule Property Prediction. (arXiv:2005.03004v1 [q-bio.QM]) http://arxiv.org/abs/2005.03004

A comparison of group testing architectures for COVID-19 testing. (arXiv:2005.03051v1 [stat.ME]) http://arxiv.org/abs/2005.03051

Joint Multi-Dimensional Model for Global and Time-Series Annotations. (arXiv:2005.03117v1 [cs.LG]) http://arxiv.org/abs/2005.03117

Towards Frequency-Based Explanation for Robust CNN. (arXiv:2005.03141v1 [cs.LG]) http://arxiv.org/abs/2005.03141

On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference. (arXiv:2005.03151v1 [stat.ME]) http://arxiv.org/abs/2005.03151

MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. (arXiv:2005.03161v1 [stat.ML]) http://arxiv.org/abs/2005.03161

Model Reduction and Neural Networks for Parametric PDEs. (arXiv:2005.03180v1 [math.NA]) http://arxiv.org/abs/2005.03180

Convergence and inference for mixed Poisson random sums. (arXiv:2005.03187v1 [math.PR]) http://arxiv.org/abs/2005.03187

Active Learning with Multiple Kernels. (arXiv:2005.03188v1 [cs.LG]) http://arxiv.org/abs/2005.03188

Fair Algorithms for Hierarchical Agglomerative Clustering. (arXiv:2005.03197v1 [cs.LG]) http://arxiv.org/abs/2005.03197

SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models. (arXiv:2005.02387v1 [cs.LG]) http://arxiv.org/abs/2005.02387