arXiv Statistics @arxiv_stats@qoto.org

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection. (arXiv:2008.02327v1 [cs.LG]) http://arxiv.org/abs/2008.02327

Bayesian Set of Best Dynamic Treatment Regimes and Sample Size Determination for SMARTs with Binary Outcomes. (arXiv:2008.02341v1 [stat.ME]) http://arxiv.org/abs/2008.02341

Adiabatic Quantum Linear Regression. (arXiv:2008.02355v1 [cs.LG]) http://arxiv.org/abs/2008.02355

Sequential change point test in the presence of outliers. (arXiv:2008.02365v1 [stat.ME]) http://arxiv.org/abs/2008.02365

QUBO Formulations for Training Machine Learning Models. (arXiv:2008.02369v1 [cs.LG]) http://arxiv.org/abs/2008.02369

Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes. (arXiv:2008.02386v1 [stat.ML]) http://arxiv.org/abs/2008.02386

Continuous-in-Depth Neural Networks. (arXiv:2008.02389v1 [cs.LG]) http://arxiv.org/abs/2008.02389

Biconvex Clustering. (arXiv:2008.01760v1 [stat.ME]) http://arxiv.org/abs/2008.01760

Can Adversarial Weight Perturbations Inject Neural Backdoors?. (arXiv:2008.01761v1 [cs.LG]) http://arxiv.org/abs/2008.01761

Graph Neural Networks: Architectures, Stability and Transferability. (arXiv:2008.01767v1 [cs.LG]) http://arxiv.org/abs/2008.01767

Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics. (arXiv:2008.01772v1 [cs.LG]) http://arxiv.org/abs/2008.01772

Community Vibrancy and its Relationship with Safety in Philadelphia. (arXiv:2008.01778v1 [stat.AP]) http://arxiv.org/abs/2008.01778

Plotting the cumulative deviation of a subgroup from the full population as a function of score. (arXiv:2008.01779v1 [stat.ME]) http://arxiv.org/abs/2008.01779

Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting. (arXiv:2008.01798v1 [cs.LG]) http://arxiv.org/abs/2008.01798

Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry. (arXiv:2008.01805v1 [cs.LG]) http://arxiv.org/abs/2008.01805

Explainable Predictive Process Monitoring. (arXiv:2008.01807v1 [cs.LG]) http://arxiv.org/abs/2008.01807

Graph Neural Networks with Low-rank Learnable Local Filters. (arXiv:2008.01818v1 [stat.ML]) http://arxiv.org/abs/2008.01818

Monotonicity properties of the Poisson approximation to the binomial distribution. (arXiv:2008.01125v1 [math.PR]) http://arxiv.org/abs/2008.01125

On the Bernstein-von Mises theorem for the Dirichlet process. (arXiv:2008.01130v1 [math.ST]) http://arxiv.org/abs/2008.01130

Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach. (arXiv:2008.01132v1 [cs.LG]) http://arxiv.org/abs/2008.01132