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Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods. (arXiv:2101.08861v1 [math.ST]) arxiv.org/abs/2101.08861

Fourier Series-Based Approximation of Time-Varying Parameters Using the Ensemble Kalman Filter. (arXiv:2101.08872v1 [math.DS]) arxiv.org/abs/2101.08872

SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples. (arXiv:2101.08917v1 [stat.ML]) arxiv.org/abs/2101.08917

Differentially Private SGD with Non-Smooth Loss. (arXiv:2101.08925v1 [stat.ML]) arxiv.org/abs/2101.08925

Increasing Cluster Size Asymptotics for Nested Error Regression Models. (arXiv:2101.08951v1 [math.ST]) arxiv.org/abs/2101.08951

Linear Regression with Distributed Learning: A Generalization Error Perspective. (arXiv:2101.09001v1 [stat.ML]) arxiv.org/abs/2101.09001

A heavy-tailed and overdispersed collective risk model. (arXiv:2101.09022v1 [stat.AP]) arxiv.org/abs/2101.09022

Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric. (arXiv:2101.09039v1 [stat.ME]) arxiv.org/abs/2101.09039

From Local Pseudorandom Generators to Hardness of Learning. (arXiv:2101.08303v1 [cs.LG]) arxiv.org/abs/2101.08303

Density-based clustering of social networks. (arXiv:2101.08334v1 [cs.SI]) arxiv.org/abs/2101.08334

Nonparametric clustering for image segmentation. (arXiv:2101.08345v1 [cs.CV]) arxiv.org/abs/2101.08345

Enhancing Generative Models via Quantum Correlations. (arXiv:2101.08354v1 [quant-ph]) arxiv.org/abs/2101.08354

Bayesian Bandwidths in Semiparametric Modelling for Nonnegative Orthant Data with Diagnostics. (arXiv:2101.08365v1 [stat.ME]) arxiv.org/abs/2101.08365

Influence Estimation for Generative Adversarial Networks. (arXiv:2101.08367v1 [stat.ML]) arxiv.org/abs/2101.08367

Optimal Full Ranking from Pairwise Comparisons. (arXiv:2101.08421v1 [math.ST]) arxiv.org/abs/2101.08421

A unified method for multivariate mixed-type response regression. (arXiv:2101.08436v1 [stat.ME]) arxiv.org/abs/2101.08436

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. (arXiv:2101.08452v1 [cs.LG]) arxiv.org/abs/2101.08452

Estimating Average Treatment Effects via Orthogonal Regularization. (arXiv:2101.08490v1 [cs.LG]) arxiv.org/abs/2101.08490

On Monte-Carlo methods in convex stochastic optimization. (arXiv:2101.07794v1 [math.ST]) arxiv.org/abs/2101.07794

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