arXiv Statistics @arxiv_stats@qoto.org

Leveraging User-Triggered Supervision in Contextual Bandits. (arXiv:2302.03784v1 [cs.LG]) http://arxiv.org/abs/2302.03784

Toward a Theory of Causation for Interpreting Neural Code Models. (arXiv:2302.03788v1 [cs.SE]) http://arxiv.org/abs/2302.03788

How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control. (arXiv:2302.03791v1 [stat.ML]) http://arxiv.org/abs/2302.03791

A Bayesian Semi-Parametric Scalar-On-Function Quantile Regression with Measurement Error using the GAL. (arXiv:2302.03795v1 [stat.ME]) http://arxiv.org/abs/2302.03795

Memory-Based Meta-Learning on Non-Stationary Distributions. (arXiv:2302.03067v1 [cs.LG]) http://arxiv.org/abs/2302.03067

Evaluating Self-Supervised Learning via Risk Decomposition. (arXiv:2302.03068v1 [cs.LG]) http://arxiv.org/abs/2302.03068

Statistical methods for partitioning ribbon and globally-distributed flux using data from the Interstellar Boundary Explorer. (arXiv:2302.03089v1 [stat.AP]) http://arxiv.org/abs/2302.03089

High-dimensional Nonlinear Bayesian Inference of Poroelastic Fields from Pressure Data. (arXiv:2302.03110v1 [stat.AP]) http://arxiv.org/abs/2302.03110

Easy Learning from Label Proportions. (arXiv:2302.03115v1 [cs.LG]) http://arxiv.org/abs/2302.03115

High Resolution Global Precipitation Downscaling with Latent Gaussian Models and Nonstationary SPDE Structure. (arXiv:2302.03148v1 [stat.AP]) http://arxiv.org/abs/2302.03148

A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data. (arXiv:2302.03157v1 [stat.ME]) http://arxiv.org/abs/2302.03157

High-Dimensional Conditionally Gaussian State Space Models with Missing Data. (arXiv:2302.03172v1 [econ.EM]) http://arxiv.org/abs/2302.03172

Nonlinear Causal Discovery with Confounders. (arXiv:2302.03178v1 [stat.ME]) http://arxiv.org/abs/2302.03178

Multivariate Bayesian dynamic modeling for causal prediction. (arXiv:2302.03200v1 [stat.ME]) http://arxiv.org/abs/2302.03200

On a continuous time model of gradient descent dynamics and instability in deep learning. (arXiv:2302.01952v1 [stat.ML]) http://arxiv.org/abs/2302.01952

Characterization and estimation of high dimensional sparse regression parameters under linear inequality constraints. (arXiv:2302.01974v1 [stat.ME]) http://arxiv.org/abs/2302.01974

multi-GPA-Tree: Statistical Approach for Pleiotropy Informed and Functional Annotation Tree Guided Prioritization of GWAS Results. (arXiv:2302.01982v1 [stat.ME]) http://arxiv.org/abs/2302.01982

Domain Adaptation via Rebalanced Sub-domain Alignment. (arXiv:2302.02009v1 [cs.LG]) http://arxiv.org/abs/2302.02009

Non-greedy Tree-based Learning for Estimating Global Optimal Dynamic Treatment Decision Rules with Continuous Treatment Dosage. (arXiv:2302.02015v1 [stat.ME]) http://arxiv.org/abs/2302.02015

A Simple Approach for Local and Global Variable Importance in Nonlinear Regression Models. (arXiv:2302.02024v1 [stat.ME]) http://arxiv.org/abs/2302.02024