arXiv Statistics @arxiv_stats@qoto.org

Discovering and forecasting extreme events via active learning in neural operators. (arXiv:2204.02488v1 [cs.LG]) http://arxiv.org/abs/2204.02488

Pareto-optimal clustering with the primal deterministic information bottleneck. (arXiv:2204.02489v1 [cs.LG]) http://arxiv.org/abs/2204.02489

A robust scalar-on-function logistic regression for classification. (arXiv:2204.02508v1 [stat.ME]) http://arxiv.org/abs/2204.02508

Cram\'{e}r's moderate deviations for martingales with applications. (arXiv:2204.02562v1 [math.PR]) http://arxiv.org/abs/2204.02562

Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independence. (arXiv:2204.02570v1 [cs.DS]) http://arxiv.org/abs/2204.02570

PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations. (arXiv:2204.02583v1 [stat.ML]) http://arxiv.org/abs/2204.02583

Consensual Aggregation on Random Projected High-dimensional Features for Regression. (arXiv:2204.02606v1 [stat.ML]) http://arxiv.org/abs/2204.02606

The First Principles of Deep Learning and Compression. (arXiv:2204.01782v1 [eess.IV]) http://arxiv.org/abs/2204.01782

Testing for independence in high dimensions based on empirical copulas. (arXiv:2204.01803v1 [math.ST]) http://arxiv.org/abs/2204.01803

An adaptive model checking test for functional linear model. (arXiv:2204.01831v1 [stat.ME]) http://arxiv.org/abs/2204.01831

Probabilistic Embeddings with Laplacian Graph Priors. (arXiv:2204.01846v1 [cs.CL]) http://arxiv.org/abs/2204.01846

MCMC for GLMMs. (arXiv:2204.01866v1 [stat.ME]) http://arxiv.org/abs/2204.01866

Policy Learning with Competing Agents. (arXiv:2204.01884v1 [stat.ML]) http://arxiv.org/abs/2204.01884

Hybrid Probabilistic-Snowball Sampling. (arXiv:2204.01887v1 [stat.CO]) http://arxiv.org/abs/2204.01887

Prediction Intervals for Simulation Metamodeling. (arXiv:2204.01904v1 [stat.ME]) http://arxiv.org/abs/2204.01904

Almost-Linear Planted Cliques Elude the Metropolis Process. (arXiv:2204.01911v1 [cs.DS]) http://arxiv.org/abs/2204.01911

Nonlocal optimization of binary neural networks. (arXiv:2204.01935v1 [cs.LG]) http://arxiv.org/abs/2204.01935

Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling. (arXiv:2204.00651v1 [stat.AP]) http://arxiv.org/abs/2204.00651

Assimilation of Satellite Active Fires Data. (arXiv:2204.00686v1 [cs.LG]) http://arxiv.org/abs/2204.00686

Asymptotic normality of the least sum of squares of trimmed residuals estimator. (arXiv:2204.00700v1 [math.ST]) http://arxiv.org/abs/2204.00700