arXiv Statistics @arxiv_stats@qoto.org

BAM: Bayes with Adaptive Memory. (arXiv:2202.02405v1 [cs.LG]) http://arxiv.org/abs/2202.02405

An Experimental Design Approach for Regret Minimization in Logistic Bandits. (arXiv:2202.02407v1 [stat.ML]) http://arxiv.org/abs/2202.02407

OMLT: Optimization & Machine Learning Toolkit. (arXiv:2202.02414v1 [stat.ML]) http://arxiv.org/abs/2202.02414

Generalized Causal Tree for Uplift Modeling. (arXiv:2202.02416v1 [stat.ME]) http://arxiv.org/abs/2202.02416

On Neural Differential Equations. (arXiv:2202.02435v1 [cs.LG]) http://arxiv.org/abs/2202.02435

Linear Model with Local Differential Privacy. (arXiv:2202.02448v1 [cs.CR]) http://arxiv.org/abs/2202.02448

One-Nearest-Neighbor Search is All You Need for Minimax Optimal Regression and Classification. (arXiv:2202.02464v1 [math.ST]) http://arxiv.org/abs/2202.02464

Incorporating Sum Constraints into Multitask Gaussian Processes. (arXiv:2202.01793v1 [stat.ML]) http://arxiv.org/abs/2202.01793

Misspecification Tests on Models of Random Graphs. (arXiv:2202.01825v1 [math.ST]) http://arxiv.org/abs/2202.01825

Transport Score Climbing: Variational Inference using Forward KL and Adaptive Neural Transport. (arXiv:2202.01841v1 [stat.ML]) http://arxiv.org/abs/2202.01841

Valid predictions of group-level random effects. (arXiv:2202.01848v1 [stat.ME]) http://arxiv.org/abs/2202.01848

A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits. (arXiv:2202.01850v1 [stat.ML]) http://arxiv.org/abs/2202.01850

Modeling unknown dynamical systems with hidden parameters. (arXiv:2202.01858v1 [stat.ML]) http://arxiv.org/abs/2202.01858

A framework for quantifying the value of vibration-based structural health monitoring. (arXiv:2202.01859v1 [stat.AP]) http://arxiv.org/abs/2202.01859

Exploiting Independent Instruments: Identification and Distribution Generalization. (arXiv:2202.01864v1 [stat.ML]) http://arxiv.org/abs/2202.01864

Flexible Triggering Kernels for Hawkes Process Modeling. (arXiv:2202.01869v1 [cs.LG]) http://arxiv.org/abs/2202.01869

Generalizing to New Physical Systems via Context-Informed Dynamics Model. (arXiv:2202.01889v1 [cs.LG]) http://arxiv.org/abs/2202.01889

Deep Layer-wise Networks Have Closed-Form Weights. (arXiv:2202.01210v1 [stat.ML]) http://arxiv.org/abs/2202.01210

Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. (arXiv:2202.01243v1 [stat.ML]) http://arxiv.org/abs/2202.01243

Catoni-style confidence sequences for heavy-tailed mean estimation. (arXiv:2202.01250v1 [math.ST]) http://arxiv.org/abs/2202.01250