arXiv Statistics @arxiv_stats@qoto.org

Collaborative Learning of Distributions under Heterogeneity and Communication Constraints. (arXiv:2206.00707v1 [stat.ML]) http://arxiv.org/abs/2206.00707

Data Augmentation MCMC for Bayesian Inference from Privatized Data. (arXiv:2206.00710v1 [stat.ME]) http://arxiv.org/abs/2206.00710

Bayesian Inference for the Multinomial Probit Model under Gaussian Prior Distribution. (arXiv:2206.00720v1 [stat.ME]) http://arxiv.org/abs/2206.00720

The Phenomenon of Policy Churn. (arXiv:2206.00730v1 [cs.LG]) http://arxiv.org/abs/2206.00730

Modified Galton-Watson processes with immigration under an alternative offspring mechanism. (arXiv:2206.00736v1 [stat.ME]) http://arxiv.org/abs/2206.00736

Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization. (arXiv:2206.00743v1 [math.OC]) http://arxiv.org/abs/2206.00743

A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression. (arXiv:2206.00744v1 [cs.LG]) http://arxiv.org/abs/2206.00744

Bayesian sample size determination for causal discovery. (arXiv:2206.00755v1 [stat.ME]) http://arxiv.org/abs/2206.00755

On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting. (arXiv:2206.00761v1 [cs.LG]) http://arxiv.org/abs/2206.00761

Confidence Intervals for Recursive Journal Impact Factors. (arXiv:2206.00004v1 [econ.GN]) http://arxiv.org/abs/2206.00004

Online PAC-Bayes Learning. (arXiv:2206.00024v1 [cs.LG]) http://arxiv.org/abs/2206.00024

Order statistics from exchangeable random variables are always sufficient. (arXiv:2206.00044v1 [math.ST]) http://arxiv.org/abs/2206.00044

Structural Forecasting for Short-term Tropical Cyclone Intensity Guidance. (arXiv:2206.00067v1 [stat.AP]) http://arxiv.org/abs/2206.00067

To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier. (arXiv:2206.00074v1 [stat.ML]) http://arxiv.org/abs/2206.00074

Parallel Tempering With a Variational Reference. (arXiv:2206.00080v1 [stat.CO]) http://arxiv.org/abs/2206.00080

Easy Variational Inference for Categorical Models via an Independent Binary Approximation. (arXiv:2206.00093v1 [stat.ML]) http://arxiv.org/abs/2206.00093

Provably and Practically Efficient Neural Contextual Bandits. (arXiv:2206.00099v1 [stat.ML]) http://arxiv.org/abs/2206.00099

A Soft-Thresholding Operator for Sparse Time-Varying Effects in Survival Models. (arXiv:2206.00102v1 [stat.ME]) http://arxiv.org/abs/2206.00102

To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints?. (arXiv:2206.00111v1 [cs.DC]) http://arxiv.org/abs/2206.00111

Improvements to Supervised EM Learning of Shared Kernel Models by Feature Space Partitioning. (arXiv:2205.15304v1 [cs.LG]) http://arxiv.org/abs/2205.15304