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Scalable Cross Validation Losses for Gaussian Process Models. (arXiv:2105.11535v1 [stat.ML]) arxiv.org/abs/2105.11535

Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD. (arXiv:2105.11547v1 [cs.CV]) arxiv.org/abs/2105.11547

Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems. (arXiv:2105.11558v1 [cs.LG]) arxiv.org/abs/2105.11558

NPD Entropy: A Non-Parametric Differential Entropy Rate Estimator. (arXiv:2105.11580v1 [cs.IT]) arxiv.org/abs/2105.11580

On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions. (arXiv:2105.11591v1 [math.ST]) arxiv.org/abs/2105.11591

Kernel Knockoffs Selection for Nonparametric Additive Models. (arXiv:2105.11659v1 [stat.ME]) arxiv.org/abs/2105.11659

Nonparametric classes for identification in random coefficients models when regressors have limited variation. (arXiv:2105.11720v1 [math.ST]) arxiv.org/abs/2105.11720

Spatial Temporal Aggregated Predictors to Examine Built Environment Health Effects. (arXiv:2105.10565v1 [stat.ME]) arxiv.org/abs/2105.10565

Parallelizing Contextual Linear Bandits. (arXiv:2105.10590v1 [stat.ML]) arxiv.org/abs/2105.10590

Post-Model-Selection Statistical Inference with Interrupted Time Series Designs: An Evaluation of an Assault Weapons Ban in California. (arXiv:2105.10624v1 [stat.ME]) arxiv.org/abs/2105.10624

Two-stage Training for Learning from Label Proportions. (arXiv:2105.10635v1 [cs.LG]) arxiv.org/abs/2105.10635

A Bayesian change point model for spatio-temporal data. (arXiv:2105.10637v1 [stat.ME]) arxiv.org/abs/2105.10637

Locally private online change point detection. (arXiv:2105.10675v1 [math.ST]) arxiv.org/abs/2105.10675

From Finite to Countable-Armed Bandits. (arXiv:2105.10721v1 [cs.LG]) arxiv.org/abs/2105.10721

A note on efficient audit sample selection. (arXiv:2105.10737v1 [stat.ME]) arxiv.org/abs/2105.10737

Exact PPS Sampling with Bounded Sample Size. (arXiv:2105.10809v1 [stat.ME]) arxiv.org/abs/2105.10809

Statistical Testing under Distributional Shifts. (arXiv:2105.10821v1 [stat.ME]) arxiv.org/abs/2105.10821

Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation. (arXiv:2105.09980v1 [cs.LG]) arxiv.org/abs/2105.09980

Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. (arXiv:2105.09985v1 [cs.LG]) arxiv.org/abs/2105.09985

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