Bayesian Nonparametric Quasi Likelihood https://arxiv.org/abs/2405.20601 #stat.ME #stat.OT
Fixed-budget optimal designs for multi-fidelity computer experiments https://arxiv.org/abs/2405.20644 #stat.ME
Statistical inference for case-control logistic regression via integrating external summary data https://arxiv.org/abs/2405.20655 #stat.ME #stat.ML
Fast Bayesian Basis Selection for Functional Data Representation with Correlated Errors https://arxiv.org/abs/2405.20758 #stat.ME
Optimal Multiclass U-Calibration Error and Beyond https://arxiv.org/abs/2405.19374 #stat.ML #cs.LG
Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret https://arxiv.org/abs/2405.19380 #stat.ML #eess.SY #cs.LG #cs.SY
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data https://arxiv.org/abs/2405.19463 #stat.ML #econ.EM #math.OC #cs.LG
Online Nonparametric Supervised Learning for Massive Data https://arxiv.org/abs/2405.19486 #stat.ML #cs.LG
Comparison of Point Process Learning and its special case Takacs-Fiksel estimation https://arxiv.org/abs/2405.19523 #stat.ME #math.ST #stat.ML #stat.TH
Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions https://arxiv.org/abs/2405.19539 #stat.ME
Factor Augmented Tensor-on-Tensor Neural Networks https://arxiv.org/abs/2405.19610 #stat.ML #stat.ME #cs.LG
Inference in semiparametric formation models for directed networks https://arxiv.org/abs/2405.19637 #stat.ME #math.ST #stat.TH
Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data https://arxiv.org/abs/2405.19666 #stat.ME #stat.AP
Large Margin Discriminative Loss for Classification https://arxiv.org/abs/2405.18499 #stat.ML #cs.LG
Covariance Operator Estimation via Adaptive Thresholding https://arxiv.org/abs/2405.18562 #math.ST #math.PR #stat.TH
A Margin-based Multiclass Generalization Bound via Geometric Complexity https://arxiv.org/abs/2405.18590 #stat.ML #cs.LG
Causal inference in the closed-loop: marginal structural models for sequential excursion effects https://arxiv.org/abs/2405.18597 #stat.ME #stat.AP
From Conformal Predictions to Confidence Regions https://arxiv.org/abs/2405.18601 #stat.ML #stat.ME #cs.LG
Rejection via Learning Density Ratios https://arxiv.org/abs/2405.18686 #stat.ML #cs.LG
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