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

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

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

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

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

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

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

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

A Quantitative Simulation-based Modeling Approach for College Counseling Centers. (arXiv:2206.01790v1 [stat.AP]) arxiv.org/abs/2206.01790

Robust Topological Inference in the Presence of Outliers. (arXiv:2206.01795v1 [math.ST]) arxiv.org/abs/2206.01795

Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength. (arXiv:2206.01802v1 [cs.LG]) arxiv.org/abs/2206.01802

Estimation and variable selection in joint mean and dispersion models applied to mixture experiments. (arXiv:2206.01806v1 [stat.ME]) arxiv.org/abs/2206.01806

Estimation of Over-parameterized Models via Fitting to Future Observations. (arXiv:2206.01824v1 [stat.ME]) arxiv.org/abs/2206.01824

Debiased Machine Learning without Sample-Splitting for Stable Estimators. (arXiv:2206.01825v1 [econ.EM]) arxiv.org/abs/2206.01825

The Gamma Generalized Normal Distribution: A Descriptor of SAR Imagery. (arXiv:2206.01826v1 [stat.ME]) arxiv.org/abs/2206.01826

New kernel-based change-point detection. (arXiv:2206.01853v1 [stat.ME]) arxiv.org/abs/2206.01853

Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow. (arXiv:2206.01864v1 [cs.LG]) arxiv.org/abs/2206.01864

Accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient. (arXiv:2206.01209v1 [math.OC]) arxiv.org/abs/2206.01209

On Some Properties of the Beta Inverse Rayleigh Distribution. (arXiv:2206.01229v1 [math.ST]) arxiv.org/abs/2206.01229

Single-World Intervention Graphs for Defining, Identifying, and Communicating Estimands in Clinical Trials. (arXiv:2206.01249v1 [stat.ME]) arxiv.org/abs/2206.01249

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