arXiv Statistics @arxiv_stats@qoto.org

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

Independent Gaussian Distributions Minimize the Kullback-Leibler (KL) Divergence from Independent Gaussian Distributions. (arXiv:2011.02560v1 [cs.IT]) http://arxiv.org/abs/2011.02560

Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. (arXiv:2011.02614v1 [cs.LG]) http://arxiv.org/abs/2011.02614

Stochastic Approximation for High-frequency Observations in Data Assimilation. (arXiv:2011.02672v1 [math.OC]) http://arxiv.org/abs/2011.02672

The causal foundations of applied probability and statistics. (arXiv:2011.02677v1 [stat.OT]) http://arxiv.org/abs/2011.02677

Nonparametric Variable Screening with Optimal Decision Stumps. (arXiv:2011.02683v1 [stat.ML]) http://arxiv.org/abs/2011.02683

Heterogeneity in General Multinomial Choice Models. (arXiv:2011.02688v1 [stat.ME]) http://arxiv.org/abs/2011.02688

Amortized Conditional Normalized Maximum Likelihood. (arXiv:2011.02696v1 [cs.LG]) http://arxiv.org/abs/2011.02696

A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. (arXiv:2011.01963v1 [cs.LG]) http://arxiv.org/abs/2011.01963