arXiv Statistics @arxiv_stats@qoto.org

Locating {\gamma}-Ray Sources on the Celestial Sphere via Modal Clustering. (arXiv:2301.11332v1 [astro-ph.IM]) http://arxiv.org/abs/2301.11332

Causal Structural Learning from Time Series: A Convex Optimization Approach. (arXiv:2301.11336v1 [cs.LG]) http://arxiv.org/abs/2301.11336

Estimating Causal Effects using a Multi-task Deep Ensemble. (arXiv:2301.11351v1 [cs.LG]) http://arxiv.org/abs/2301.11351

Permutation-based Hypothesis Testing for Neural Networks. (arXiv:2301.11354v1 [stat.ME]) http://arxiv.org/abs/2301.11354

Rigid body flows for sampling molecular crystal structures. (arXiv:2301.11355v1 [cs.LG]) http://arxiv.org/abs/2301.11355

Neural networks learn to magnify areas near decision boundaries. (arXiv:2301.11375v1 [cs.LG]) http://arxiv.org/abs/2301.11375

Distributional outcome regression and its application to modelling continuously monitored heart rate and physical activity. (arXiv:2301.11399v1 [stat.ME]) http://arxiv.org/abs/2301.11399

Causal Bandits without Graph Learning. (arXiv:2301.11401v1 [stat.ML]) http://arxiv.org/abs/2301.11401

DBGDGM: Dynamic Brain Graph Deep Generative Model. (arXiv:2301.11408v1 [cs.LG]) http://arxiv.org/abs/2301.11408

Parkinson gait modelling from an anomaly deep representation. (arXiv:2301.11418v1 [cs.CV]) http://arxiv.org/abs/2301.11418

Evaluating Probabilistic Classifiers: The Triptych. (arXiv:2301.10803v1 [stat.ME]) http://arxiv.org/abs/2301.10803

Graph Neural Tangent Kernel: Convergence on Large Graphs. (arXiv:2301.10808v1 [cs.LG]) http://arxiv.org/abs/2301.10808

On the inconsistency of separable losses for structured prediction. (arXiv:2301.10810v1 [cs.LG]) http://arxiv.org/abs/2301.10810

Re-embedding data to strengthen recovery guarantees of clustering. (arXiv:2301.10901v1 [cs.LG]) http://arxiv.org/abs/2301.10901

Guaranteed Accuracy of Semi-Modular Posteriors. (arXiv:2301.10911v1 [stat.ME]) http://arxiv.org/abs/2301.10911

Proximal Causal Learning of Heterogeneous Treatment Effects. (arXiv:2301.10913v1 [stat.ML]) http://arxiv.org/abs/2301.10913

On the Global Convergence of Risk-Averse Policy Gradient Methods with Dynamic Time-Consistent Risk Measures. (arXiv:2301.10932v1 [cs.LG]) http://arxiv.org/abs/2301.10932

Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions. (arXiv:2301.10942v1 [stat.ME]) http://arxiv.org/abs/2301.10942

Learning Large Scale Sparse Models. (arXiv:2301.10958v1 [stat.ML]) http://arxiv.org/abs/2301.10958

On the choice of weights in aggregate compositional data analysis. (arXiv:2301.10970v1 [stat.AP]) http://arxiv.org/abs/2301.10970