arXiv Statistics @arxiv_stats@qoto.org

Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws. (arXiv:2302.12349v1 [cs.LG]) http://arxiv.org/abs/2302.12349

On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space. (arXiv:2302.12351v1 [cs.LG]) http://arxiv.org/abs/2302.12351

Asymptotic confidence sets for random linear programs. (arXiv:2302.12364v1 [math.ST]) http://arxiv.org/abs/2302.12364

Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds. (arXiv:2302.12370v1 [cs.LG]) http://arxiv.org/abs/2302.12370

Sequential Re-estimation Learning of Optimal Individualized Treatment Rules Among Ordinal Treatments with Application to Recommended Intervals Between Blood Donations. (arXiv:2302.11638v1 [stat.ME]) http://arxiv.org/abs/2302.11638

Patient stratification in multi-arm trials: a two-stage procedure with Bayesian profile regression. (arXiv:2302.11647v1 [stat.ME]) http://arxiv.org/abs/2302.11647

Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects in Air Pollution Epidemiology. (arXiv:2302.11656v1 [stat.ME]) http://arxiv.org/abs/2302.11656

On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources. (arXiv:2302.11679v1 [cs.LG]) http://arxiv.org/abs/2302.11679

Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes. (arXiv:2302.11709v1 [stat.ML]) http://arxiv.org/abs/2302.11709

From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference. (arXiv:2302.11715v1 [stat.ME]) http://arxiv.org/abs/2302.11715

Causally Disentangled Generative Variational AutoEncoder. (arXiv:2302.11737v1 [stat.ML]) http://arxiv.org/abs/2302.11737

Logistic Regression and Classification with non-Euclidean Covariates. (arXiv:2302.11746v1 [stat.ME]) http://arxiv.org/abs/2302.11746

Learning Manifold Dimensions with Conditional Variational Autoencoders. (arXiv:2302.11756v1 [cs.LG]) http://arxiv.org/abs/2302.11756

Revisiting the Gumbel-Softmax in MADDPG. (arXiv:2302.11793v1 [cs.LG]) http://arxiv.org/abs/2302.11793

Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression. (arXiv:2302.10959v1 [stat.ML]) http://arxiv.org/abs/2302.10959

Towards a responsible machine learning approach to identify forced labor in fisheries. (arXiv:2302.10987v1 [cs.LG]) http://arxiv.org/abs/2302.10987

Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance. (arXiv:2302.11024v1 [stat.ML]) http://arxiv.org/abs/2302.11024

Boosting Nystr\"{o}m Method. (arXiv:2302.11032v1 [stat.ML]) http://arxiv.org/abs/2302.11032

SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics. (arXiv:2302.11055v1 [cs.LG]) http://arxiv.org/abs/2302.11055

Bayesian Age Category Reconciliation for Age- and Cause-specific Under-five Mortality Estimates. (arXiv:2302.11058v1 [stat.AP]) http://arxiv.org/abs/2302.11058