arXiv Statistics @arxiv_stats@qoto.org

A Neural Network MCMC sampler that maximizes Proposal Entropy. (arXiv:2010.03587v1 [stat.ML]) http://arxiv.org/abs/2010.03587

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples. (arXiv:2010.03593v1 [stat.ML]) http://arxiv.org/abs/2010.03593

Quantum-enhanced barcode decoding and pattern recognition. (arXiv:2010.03594v1 [quant-ph]) http://arxiv.org/abs/2010.03594

Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data. (arXiv:2010.03622v1 [cs.LG]) http://arxiv.org/abs/2010.03622

Simplicial Neural Networks. (arXiv:2010.03633v1 [cs.LG]) http://arxiv.org/abs/2010.03633

Hierarchical Relational Inference. (arXiv:2010.03635v1 [cs.LG]) http://arxiv.org/abs/2010.03635

Actor-Critic Algorithm for High-dimensional Partial Differential Equations. (arXiv:2010.03647v1 [cs.LG]) http://arxiv.org/abs/2010.03647

A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks. (arXiv:2010.03648v1 [cs.CL]) http://arxiv.org/abs/2010.03648

Multivariate functional responses low rank regression with an application to brain imaging data. (arXiv:2010.03700v1 [stat.ME]) http://arxiv.org/abs/2010.03700

Attention augmented differentiable forest for tabular data. (arXiv:2010.02921v1 [cs.LG]) http://arxiv.org/abs/2010.02921

How unbiased statistical methods lead to biased scientific discoveries: A case study of the Efron-Petrosian statistic applied to the luminosity-redshift evolution of Gamma-Ray Bursts. (arXiv:2010.02935v1 [astro-ph.HE]) http://arxiv.org/abs/2010.02935

Statistical monitoring of functional data using the notion of Fr\'echet mean combined with the framework of the deformation models. (arXiv:2010.02968v1 [stat.ME]) http://arxiv.org/abs/2010.02968

Bayesian mitigation of spatial coarsening for a fairly flexible spatiotemporal Hawkes model. (arXiv:2010.02994v1 [stat.ME]) http://arxiv.org/abs/2010.02994

Flow-based anomaly detection. (arXiv:2010.03002v1 [cs.LG]) http://arxiv.org/abs/2010.03002

Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models. (arXiv:2010.03029v1 [stat.ML]) http://arxiv.org/abs/2010.03029

Using Experimental Data to Evaluate Methods for Observational Causal Inference. (arXiv:2010.03051v1 [stat.ME]) http://arxiv.org/abs/2010.03051

Sequential Changepoint Detection in Neural Networks with Checkpoints. (arXiv:2010.03053v1 [cs.LG]) http://arxiv.org/abs/2010.03053

Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing. (arXiv:2010.03088v1 [cs.CL]) http://arxiv.org/abs/2010.03088

Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. (arXiv:2010.03104v1 [cs.LG]) http://arxiv.org/abs/2010.03104

Dealing with multiple testing: To adjust or not to adjust. (arXiv:2010.02205v1 [stat.OT]) http://arxiv.org/abs/2010.02205