arXiv Statistics @arxiv_stats@qoto.org

Meta-Analysis of Genomic and Transcriptomic Variations in Lung Adenocarcinoma. (arXiv:1911.00511v1 [q-bio.GN]) http://arxiv.org/abs/1911.00511

Modeling National Latent Socioeconomic Health and Examination of Policy Effects via Causal Inference. (arXiv:1911.00512v1 [econ.GN]) http://arxiv.org/abs/1911.00512

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. (arXiv:1911.00515v1 [physics.med-ph]) http://arxiv.org/abs/1911.00515

Think-aloud interviews: A tool for exploring student statistical reasoning. (arXiv:1911.00535v1 [stat.OT]) http://arxiv.org/abs/1911.00535

Optimality of Spectral Clustering for Gaussian Mixture Model. (arXiv:1911.00538v1 [math.ST]) http://arxiv.org/abs/1911.00538

Penalized robust estimators in logistic regression with applications to sparse models. (arXiv:1911.00554v1 [stat.ME]) http://arxiv.org/abs/1911.00554

Frequentist Regret Bounds for Randomized Least-Squares Value Iteration. (arXiv:1911.00567v1 [cs.LG]) http://arxiv.org/abs/1911.00567

Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem. (arXiv:1911.00569v1 [cs.LG]) http://arxiv.org/abs/1911.00569

Probabilistic Formulation of the Take The Best Heuristic. (arXiv:1911.00572v1 [stat.AP]) http://arxiv.org/abs/1911.00572

Continual Multi-task Gaussian Processes. (arXiv:1911.00002v1 [stat.ML]) http://arxiv.org/abs/1911.00002

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. (arXiv:1911.00025v1 [cs.LG]) http://arxiv.org/abs/1911.00025

Modeling Feature Representations for Affective Speech using Generative Adversarial Networks. (arXiv:1911.00030v1 [cs.LG]) http://arxiv.org/abs/1911.00030

Context-Aware Local Differential Privacy. (arXiv:1911.00038v1 [cs.LG]) http://arxiv.org/abs/1911.00038

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. (arXiv:1911.00055v1 [cs.LG]) http://arxiv.org/abs/1911.00055

DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. (arXiv:1911.00061v1 [cs.LG]) http://arxiv.org/abs/1911.00061

Confident Learning: Estimating Uncertainty in Dataset Labels. (arXiv:1911.00068v1 [stat.ML]) http://arxiv.org/abs/1911.00068

Text-to-image synthesis method evaluation based on visual patterns. (arXiv:1911.00077v1 [cs.LG]) http://arxiv.org/abs/1911.00077

Scaling structural learning with NO-BEARS to infer causal transcriptome networks. (arXiv:1911.00081v1 [q-bio.GN]) http://arxiv.org/abs/1911.00081

Regression of binary network data with exchangeable latent errors. (arXiv:1911.00082v1 [stat.ME]) http://arxiv.org/abs/1911.00082

Graph Neural News Recommendation with Long-term and Short-term Interest Modeling. (arXiv:1910.14025v1 [cs.IR]) http://arxiv.org/abs/1910.14025