arXiv Statistics @arxiv_stats@qoto.org

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

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. (arXiv:2005.02392v1 [cs.LG]) http://arxiv.org/abs/2005.02392

Stolen Probability: A Structural Weakness of Neural Language Models. (arXiv:2005.02433v1 [cs.LG]) http://arxiv.org/abs/2005.02433

Effect of The Latent Structure on Clustering with GANs. (arXiv:2005.02435v1 [cs.LG]) http://arxiv.org/abs/2005.02435

Variance Reduction for Sequential Sampling in Stochastic Programming. (arXiv:2005.02458v1 [math.OC]) http://arxiv.org/abs/2005.02458

A Ladder of Causal Distances. (arXiv:2005.02480v1 [cs.AI]) http://arxiv.org/abs/2005.02480

Instance-Dependent Cost-Sensitive Learning for Detecting Transfer Fraud. (arXiv:2005.02488v1 [stat.AP]) http://arxiv.org/abs/2005.02488

Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles. (arXiv:2005.02490v1 [stat.ME]) http://arxiv.org/abs/2005.02490

A Lasso-OLS Hybrid Approach to Covariate Selection and Average Treatment Effect Estimation for Clustered RCTs Using Design-Based Methods. (arXiv:2005.02502v1 [stat.ME]) http://arxiv.org/abs/2005.02502

Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning. (arXiv:2005.02503v1 [cs.LG]) http://arxiv.org/abs/2005.02503

Fitting Laplacian Regularized Stratified Gaussian Models. (arXiv:2005.01752v1 [stat.ML]) http://arxiv.org/abs/2005.01752

Sample Complexity of Uniform Convergence for Multicalibration. (arXiv:2005.01757v1 [cs.LG]) http://arxiv.org/abs/2005.01757

Inference with many correlated weak instruments and summary statistics. (arXiv:2005.01765v1 [stat.ME]) http://arxiv.org/abs/2005.01765