arXiv Statistics @arxiv_stats@qoto.org

Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. (arXiv:2206.03520v1 [stat.ML]) http://arxiv.org/abs/2206.03520

Confidentiality Protection in the 2020 US Census of Population and Housing. (arXiv:2206.03524v1 [stat.AP]) http://arxiv.org/abs/2206.03524

Decoupled Self-supervised Learning for Non-Homophilous Graphs. (arXiv:2206.03601v1 [cs.LG]) http://arxiv.org/abs/2206.03601

FedPop: A Bayesian Approach for Personalised Federated Learning. (arXiv:2206.03611v1 [cs.LG]) http://arxiv.org/abs/2206.03611

Bayesian additive regression trees for probabilistic programming. (arXiv:2206.03619v1 [stat.CO]) http://arxiv.org/abs/2206.03619

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. (arXiv:2206.03633v1 [cs.LG]) http://arxiv.org/abs/2206.03633

Neural Bandit with Arm Group Graph. (arXiv:2206.03644v1 [cs.LG]) http://arxiv.org/abs/2206.03644

Robust self-tuning semiparametric PCA for contaminated elliptical distribution. (arXiv:2206.03662v1 [stat.ME]) http://arxiv.org/abs/2206.03662

Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials. (arXiv:2206.03688v1 [cs.LG]) http://arxiv.org/abs/2206.03688

Impossibility of Collective Intelligence. (arXiv:2206.02786v1 [cs.LG]) http://arxiv.org/abs/2206.02786

FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. (arXiv:2206.02792v1 [cs.LG]) http://arxiv.org/abs/2206.02792

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. (arXiv:2206.02829v1 [cs.LG]) http://arxiv.org/abs/2206.02829

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. (arXiv:2206.02834v1 [cs.LG]) http://arxiv.org/abs/2206.02834

Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks. (arXiv:2206.02887v1 [cs.LG]) http://arxiv.org/abs/2206.02887

Training Subset Selection for Weak Supervision. (arXiv:2206.02914v1 [stat.ML]) http://arxiv.org/abs/2206.02914

Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime. (arXiv:2206.02927v1 [stat.ML]) http://arxiv.org/abs/2206.02927

On the Convergence of Optimizing Persistent-Homology-Based Losses. (arXiv:2206.02946v1 [cs.LG]) http://arxiv.org/abs/2206.02946

Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization. (arXiv:2206.02953v1 [math.OC]) http://arxiv.org/abs/2206.02953

Median Regularity and Honest Inference. (arXiv:2206.02954v1 [math.ST]) http://arxiv.org/abs/2206.02954

Bayesian and Frequentist Inference for Synthetic Controls. (arXiv:2206.01779v1 [stat.ME]) http://arxiv.org/abs/2206.01779