A Multiscale Graph Convolutional Network Using Hierarchical Clustering. (arXiv:2006.12542v1 [cs.LG]) http://arxiv.org/abs/2006.12542
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks. (arXiv:2006.12557v1 [cs.LG]) http://arxiv.org/abs/2006.12557
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model. (arXiv:2006.12573v1 [stat.ME]) http://arxiv.org/abs/2006.12573
Exact Support Recovery in Federated Regression with One-shot Communication. (arXiv:2006.12583v1 [cs.LG]) http://arxiv.org/abs/2006.12583
Distributional Individual Fairness in Clustering. (arXiv:2006.12589v1 [cs.LG]) http://arxiv.org/abs/2006.12589
C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. (arXiv:2006.12590v1 [cs.LG]) http://arxiv.org/abs/2006.12590
An Efficient Smoothing Proximal Gradient Algorithm for Convex Clustering. (arXiv:2006.12592v1 [cs.LG]) http://arxiv.org/abs/2006.12592
The MCC-F1 curve: a performance evaluation technique for binary classification. (arXiv:2006.11278v1 [stat.ML]) http://arxiv.org/abs/2006.11278
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. (arXiv:2006.11280v1 [cs.LG]) http://arxiv.org/abs/2006.11280
Efficient implementations of echo state network cross-validation. (arXiv:2006.11282v1 [cs.LG]) http://arxiv.org/abs/2006.11282
Discovering Symbolic Models from Deep Learning with Inductive Biases. (arXiv:2006.11287v1 [cs.LG]) http://arxiv.org/abs/2006.11287
Information theoretic limits of learning a sparse rule. (arXiv:2006.11313v1 [cs.IT]) http://arxiv.org/abs/2006.11313
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. (arXiv:2006.11321v1 [cs.LG]) http://arxiv.org/abs/2006.11321
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification. (arXiv:2006.11325v1 [cs.LG]) http://arxiv.org/abs/2006.11325
Normalization Matters in Zero-Shot Learning. (arXiv:2006.11328v1 [cs.LG]) http://arxiv.org/abs/2006.11328
Bringing Visual Inference to the Classroom. (arXiv:2006.11345v1 [stat.OT]) http://arxiv.org/abs/2006.11345
Do Methodological Birds of a Feather Flock Together?. (arXiv:2006.11346v1 [stat.ME]) http://arxiv.org/abs/2006.11346
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity. (arXiv:2006.10782v1 [cs.LG]) http://arxiv.org/abs/2006.10782
Weighted QMIX: Expanding Monotonic Value Function Factorisation. (arXiv:2006.10800v1 [cs.LG]) http://arxiv.org/abs/2006.10800
Predictive Complexity Priors. (arXiv:2006.10801v1 [stat.ML]) http://arxiv.org/abs/2006.10801
I post the feed of the arXiv Statistics.
#Statistics #Stats #Mathematics #Math #Maths #Science #arXiv #News #PeerReview