arXiv Statistics @arxiv_stats@qoto.org

Efficient prediction of grain boundary energies from atomistic simulations via sequential design. (arXiv:2111.13767v1 [cond-mat.mtrl-sci]) http://arxiv.org/abs/2111.13767

Particle Dynamics for Learning EBMs. (arXiv:2111.13772v1 [cs.LG]) http://arxiv.org/abs/2111.13772

Online Causal Inference with Application to Near Real-Time Post-Market Vaccine Safety Surveillance. (arXiv:2111.13775v1 [stat.ME]) http://arxiv.org/abs/2111.13775

Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. (arXiv:2111.13789v1 [stat.AP]) http://arxiv.org/abs/2111.13789

Feature Selection for Causal Inference from High Dimensional Observational Data with Outcome Adaptive Elastic Net. (arXiv:2111.13800v1 [cs.LG]) http://arxiv.org/abs/2111.13800

Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. (arXiv:2111.13807v1 [cs.LG]) http://arxiv.org/abs/2111.13807

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. (arXiv:2111.13822v1 [cs.LG]) http://arxiv.org/abs/2111.13822

A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems. (arXiv:2111.13878v1 [math.OC]) http://arxiv.org/abs/2111.13878

Ridge-Type Shrinkage Estimators in Low and High Dimensional Beta Regression Model with Application in Econometrics and Medicine. (arXiv:2111.13887v1 [stat.ME]) http://arxiv.org/abs/2111.13887

Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator. (arXiv:2111.12720v1 [stat.ME]) http://arxiv.org/abs/2111.12720

An Augmented Likelihood Approach for the Discrete Proportional Hazards Model Using Auxiliary and Validated Outcome Data -- with Application to HCHS/SOL Study. (arXiv:2111.12760v1 [stat.ME]) http://arxiv.org/abs/2111.12760

Differentially Private Nonparametric Regression Under a Growth Condition. (arXiv:2111.12786v1 [cs.LG]) http://arxiv.org/abs/2111.12786

Fairness for AUC via Feature Augmentation. (arXiv:2111.12823v1 [cs.LG]) http://arxiv.org/abs/2111.12823

A Spline Dimensional Decomposition for Uncertainty Quantification in High Dimensions. (arXiv:2111.12870v1 [math.NA]) http://arxiv.org/abs/2111.12870

Time-independent Generalization Bounds for SGLD in Non-convex Settings. (arXiv:2111.12876v1 [stat.ML]) http://arxiv.org/abs/2111.12876

Network regression and supervised centrality estimation. (arXiv:2111.12921v1 [econ.EM]) http://arxiv.org/abs/2111.12921

Exact Confidence Bounds in Discrete Models -- Algorithmic Aspects of Sterne's Method. (arXiv:2111.12937v1 [stat.CO]) http://arxiv.org/abs/2111.12937

Correcting the Laplace Method with Variational Bayes. (arXiv:2111.12945v1 [stat.ME]) http://arxiv.org/abs/2111.12945

Biased-sample empirical likelihood weighting: an alternative to inverse probability weighting. (arXiv:2111.12955v1 [stat.ME]) http://arxiv.org/abs/2111.12955

ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups. (arXiv:2111.12139v1 [cs.LG]) http://arxiv.org/abs/2111.12139