arXiv Statistics @arxiv_stats@qoto.org

On the Maximum Mutual Information Capacity of Neural Architectures. (arXiv:2006.06037v1 [cs.LG]) http://arxiv.org/abs/2006.06037

Efficient Contextual Bandits with Continuous Actions. (arXiv:2006.06040v1 [cs.LG]) http://arxiv.org/abs/2006.06040

On Mixup Regularization. (arXiv:2006.06049v1 [cs.LG]) http://arxiv.org/abs/2006.06049

Learning to Incentivize Other Learning Agents. (arXiv:2006.06051v1 [cs.LG]) http://arxiv.org/abs/2006.06051

Fair Data Integration. (arXiv:2006.06053v1 [cs.LG]) http://arxiv.org/abs/2006.06053

Scalable Partial Explainability in Neural Networks via Flexible Activation Functions. (arXiv:2006.06057v1 [cs.LG]) http://arxiv.org/abs/2006.06057

Deterministic Gaussian Averaged Neural Networks. (arXiv:2006.06061v1 [cs.LG]) http://arxiv.org/abs/2006.06061

Conditional probability and improper priors. (arXiv:2006.04797v1 [math.ST]) http://arxiv.org/abs/2006.04797

Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors. (arXiv:2006.04802v1 [cs.LG]) http://arxiv.org/abs/2006.04802

Optimal Transport Graph Neural Networks. (arXiv:2006.04804v1 [stat.ML]) http://arxiv.org/abs/2006.04804

A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account. (arXiv:2006.04836v1 [cs.LG]) http://arxiv.org/abs/2006.04836

Random derangements and the Ewens Sampling Formula. (arXiv:2006.04840v1 [math.PR]) http://arxiv.org/abs/2006.04840

Procrustean Orthogonal Sparse Hashing. (arXiv:2006.04847v1 [cs.LG]) http://arxiv.org/abs/2006.04847

Learning the Truth From Only One Side of the Story. (arXiv:2006.04858v1 [cs.LG]) http://arxiv.org/abs/2006.04858

$O(n)$ Connections are Expressive Enough: Universal Approximability of Sparse Transformers. (arXiv:2006.04862v1 [cs.LG]) http://arxiv.org/abs/2006.04862

A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning. (arXiv:2006.04873v1 [math.OC]) http://arxiv.org/abs/2006.04873

Clustering Causal Additive Noise Models. (arXiv:2006.04877v1 [stat.ME]) http://arxiv.org/abs/2006.04877

From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. (arXiv:2006.03594v1 [cs.DC]) http://arxiv.org/abs/2006.03594

Root Cause Analysis in Lithium-Ion Battery Production with FMEA-Based Large-Scale Bayesian Network. (arXiv:2006.03610v1 [stat.AP]) http://arxiv.org/abs/2006.03610

High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators. (arXiv:2006.03616v1 [cs.LG]) http://arxiv.org/abs/2006.03616