Change-point Detection for Piecewise Exponential Models. (arXiv:2112.03962v1 [stat.ME]) http://arxiv.org/abs/2112.03962
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks. (arXiv:2112.03968v1 [cs.LG]) http://arxiv.org/abs/2112.03968
Posterior linearisation smoothing with robust iterations. (arXiv:2112.03969v1 [math.OC]) http://arxiv.org/abs/2112.03969
Stabilized Direct Learning for Efficient Estimation of Individualized Treatment Rules. (arXiv:2112.03981v1 [stat.ME]) http://arxiv.org/abs/2112.03981
Convergence rate bounds for iterative random functions using one-shot coupling. (arXiv:2112.03982v1 [stat.CO]) http://arxiv.org/abs/2112.03982
Testing for Causal Influence using a Partial Coherence Statistic. (arXiv:2112.03987v1 [eess.SP]) http://arxiv.org/abs/2112.03987
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning. (arXiv:2112.04002v1 [cs.LG]) http://arxiv.org/abs/2112.04002
Toward a Taxonomy of Trust for Probabilistic Machine Learning. (arXiv:2112.03270v1 [cs.LG]) http://arxiv.org/abs/2112.03270
Quality control for more reliable integration of deep learning-based image segmentation into medical workflows. (arXiv:2112.03277v1 [eess.IV]) http://arxiv.org/abs/2112.03277
Bayesian Structural Equation Modeling in Multiple Omics Data Integration with Application to Circadian Genes. (arXiv:2112.03330v1 [stat.ME]) http://arxiv.org/abs/2112.03330
Posterior Predictive Null Checks. (arXiv:2112.03333v1 [stat.ME]) http://arxiv.org/abs/2112.03333
Using principal stratification in analysis of clinical trials. (arXiv:2112.03352v1 [stat.ME]) http://arxiv.org/abs/2112.03352
RafterNet: Probabilistic predictions in multi-response regression. (arXiv:2112.03377v1 [cs.LG]) http://arxiv.org/abs/2112.03377
On the computation of a non-parametric estimator by convex optimization. (arXiv:2112.03390v1 [math.ST]) http://arxiv.org/abs/2112.03390
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design. (arXiv:2112.03402v1 [cs.LG]) http://arxiv.org/abs/2112.03402
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms. (arXiv:2112.03407v1 [cs.LG]) http://arxiv.org/abs/2112.03407
Using Image Transformations to Learn Network Structure. (arXiv:2112.03419v1 [stat.ML]) http://arxiv.org/abs/2112.03419
Distributed Adaptive Learning Under Communication Constraints. (arXiv:2112.02129v1 [cs.LG]) http://arxiv.org/abs/2112.02129
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion. (arXiv:2112.02180v1 [stat.CO]) http://arxiv.org/abs/2112.02180
High return level estimates of daily ERA-5 precipitation in Europe estimated using regionalised extreme value distributions. (arXiv:2112.02182v1 [stat.AP]) http://arxiv.org/abs/2112.02182
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