arXiv Statistics @arxiv_stats@qoto.org

Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach. (arXiv:2107.03441v1 [stat.ME]) http://arxiv.org/abs/2107.03441

Model Selection for Generic Contextual Bandits. (arXiv:2107.03455v1 [stat.ML]) http://arxiv.org/abs/2107.03455

Uncertainity in Ranking. (arXiv:2107.03459v1 [stat.ME]) http://arxiv.org/abs/2107.03459

Impossibility results for fair representations. (arXiv:2107.03483v1 [cs.LG]) http://arxiv.org/abs/2107.03483

The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property. (arXiv:2107.03494v1 [math.ST]) http://arxiv.org/abs/2107.03494

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation. (arXiv:2107.03502v1 [cs.LG]) http://arxiv.org/abs/2107.03502

The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations. (arXiv:2107.03544v1 [stat.AP]) http://arxiv.org/abs/2107.03544

New Methods and Datasets for Group Anomaly Detection From Fundamental Physics. (arXiv:2107.02821v1 [stat.ML]) http://arxiv.org/abs/2107.02821

Transfer Learning in Information Criteria-based Feature Selection. (arXiv:2107.02847v1 [stat.ML]) http://arxiv.org/abs/2107.02847

Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test. (arXiv:2107.02849v1 [math.ST]) http://arxiv.org/abs/2107.02849

Principles for Evaluation of AI/ML Model Performance and Robustness. (arXiv:2107.02868v1 [cs.LG]) http://arxiv.org/abs/2107.02868

Non-Homogeneity Estimation and Universal Kriging on the Sphere. (arXiv:2107.02871v1 [stat.ME]) http://arxiv.org/abs/2107.02871

Network meta-analysis and random walks. (arXiv:2107.02886v1 [cs.SI]) http://arxiv.org/abs/2107.02886

On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime. (arXiv:2107.02891v1 [math.ST]) http://arxiv.org/abs/2107.02891

An application of time truncated single acceptance sampling inspection plan based on transmuted Rayleigh distribution. (arXiv:2107.02903v1 [stat.ME]) http://arxiv.org/abs/2107.02903

Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021". (arXiv:2107.02906v1 [q-bio.QM]) http://arxiv.org/abs/2107.02906

Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. (arXiv:2107.02911v1 [cs.LG]) http://arxiv.org/abs/2107.02911

Featurized Density Ratio Estimation. (arXiv:2107.02212v1 [cs.LG]) http://arxiv.org/abs/2107.02212

End-to-End Weak Supervision. (arXiv:2107.02233v1 [cs.LG]) http://arxiv.org/abs/2107.02233

Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination. (arXiv:2107.02237v1 [cs.LG]) http://arxiv.org/abs/2107.02237