arXiv Statistics @arxiv_stats@qoto.org

Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression. (arXiv:2011.03598v1 [stat.ME]) http://arxiv.org/abs/2011.03598

A computationally efficient, high-dimensional multiple changepoint procedure with application to global terrorism incidence. (arXiv:2011.03599v1 [stat.ME]) http://arxiv.org/abs/2011.03599

Ridge Regression with Frequent Directions: Statistical and Optimization Perspectives. (arXiv:2011.03607v1 [cs.LG]) http://arxiv.org/abs/2011.03607

Efficient Permutation Discovery in Causal DAGs. (arXiv:2011.03610v1 [stat.ME]) http://arxiv.org/abs/2011.03610

Settling the Robust Learnability of Mixtures of Gaussians. (arXiv:2011.03622v1 [cs.DS]) http://arxiv.org/abs/2011.03622

Feature Removal Is a Unifying Principle for Model Explanation Methods. (arXiv:2011.03623v1 [cs.LG]) http://arxiv.org/abs/2011.03623

Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak. (arXiv:2011.03628v1 [cs.LG]) http://arxiv.org/abs/2011.03628

Methods to Compute Prediction Intervals: A Review and New Results. (arXiv:2011.03065v1 [stat.ME]) http://arxiv.org/abs/2011.03065

Conditional quantile estimators: A small sample theory. (arXiv:2011.03073v1 [econ.EM]) http://arxiv.org/abs/2011.03073

Statistical analysis of Wasserstein GANs with applications to time series forecasting. (arXiv:2011.03074v1 [math.ST]) http://arxiv.org/abs/2011.03074

Hidden Markov P\'olya trees for high-dimensional distributions. (arXiv:2011.03121v1 [stat.ME]) http://arxiv.org/abs/2011.03121

Causal Imputation via Synthetic Interventions. (arXiv:2011.03127v1 [stat.ME]) http://arxiv.org/abs/2011.03127

Prediction of Future Failures for Heterogeneous Reliability Field Data. (arXiv:2011.03140v1 [stat.ME]) http://arxiv.org/abs/2011.03140

Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization. (arXiv:2011.03151v1 [cs.LG]) http://arxiv.org/abs/2011.03151

Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction. (arXiv:2011.03172v1 [stat.ML]) http://arxiv.org/abs/2011.03172

There is no trade-off: enforcing fairness can improve accuracy. (arXiv:2011.03173v1 [stat.ML]) http://arxiv.org/abs/2011.03173

On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method. (arXiv:2011.03176v1 [stat.ML]) http://arxiv.org/abs/2011.03176

Filtering for Aggregate Hidden Markov Models with Continuous Observations. (arXiv:2011.02521v1 [stat.ML]) http://arxiv.org/abs/2011.02521

Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. (arXiv:2011.02522v1 [cs.LG]) http://arxiv.org/abs/2011.02522

Direction Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate. (arXiv:2011.02538v1 [cs.LG]) http://arxiv.org/abs/2011.02538