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The Anatomy of Corner 3s in the NBA: What makes them efficient, how are they generated and how can defenses respond?. (arXiv:2105.12785v1 [stat.AP]) arxiv.org/abs/2105.12785

Ideal Bayesian Spatial Adaptation. (arXiv:2105.12793v1 [math.ST]) arxiv.org/abs/2105.12793

Bayesian Origin-Destination Estimation in Networked Transit Systems using Nodal In- and Outflow Counts. (arXiv:2105.12798v1 [stat.AP]) arxiv.org/abs/2105.12798

A Universal Law of Robustness via Isoperimetry. (arXiv:2105.12806v1 [cs.LG]) arxiv.org/abs/2105.12806

Convex Combination Belief Propagation Algorithms. (arXiv:2105.12815v1 [cs.AI]) arxiv.org/abs/2105.12815

Fooling Partial Dependence via Data Poisoning. (arXiv:2105.12837v1 [cs.LG]) arxiv.org/abs/2105.12837

Flexible Bayesian modelling of concomitant covariate effects in mixture models. (arXiv:2105.12852v1 [stat.ME]) arxiv.org/abs/2105.12852

Convergence criteria for sampling random graphs with specified degree sequences. (arXiv:2105.12120v1 [cs.SI]) arxiv.org/abs/2105.12120

Density estimation: an inflation-deflation approach. (arXiv:2105.12152v1 [cs.LG]) arxiv.org/abs/2105.12152

A risk analysis framework for real-time control systems. (arXiv:2105.12225v1 [math.OC]) arxiv.org/abs/2105.12225

Reciprocal first-order second-moment method. (arXiv:2105.12230v1 [stat.ME]) arxiv.org/abs/2105.12230

Practical Convex Formulation of Robust One-hidden-layer Neural Network Training. (arXiv:2105.12237v1 [cs.LG]) arxiv.org/abs/2105.12237

Scaling Properties of Deep Residual Networks. (arXiv:2105.12245v1 [cs.LG]) arxiv.org/abs/2105.12245

Graph Self Supervised Learning: the BT, the HSIC, and the VICReg. (arXiv:2105.12247v1 [cs.LG]) arxiv.org/abs/2105.12247

Rank-one matrix estimation: analytic time evolution of gradient descent dynamics. (arXiv:2105.12257v1 [stat.ML]) arxiv.org/abs/2105.12257

Estimation of Optimal Dynamic Treatment Regimes via Gaussian Process Emulation: A Technical Report. (arXiv:2105.12259v1 [stat.ME]) arxiv.org/abs/2105.12259

SG-PALM: a Fast Physically Interpretable Tensor Graphical Model. (arXiv:2105.12271v1 [stat.ML]) arxiv.org/abs/2105.12271

Hidden Markov and semi-Markov models: When and why are these models useful to classify states in time series data?. (arXiv:2105.11490v1 [stat.AP]) arxiv.org/abs/2105.11490

Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization. (arXiv:2105.11512v1 [eess.IV]) arxiv.org/abs/2105.11512

Unbiased Estimation of the Gradient of the Log-Likelihood for a Class of Continuous-Time State-Space Models. (arXiv:2105.11522v1 [stat.ML]) arxiv.org/abs/2105.11522

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