arXiv Statistics @arxiv_stats@qoto.org

On a continuous time model of gradient descent dynamics and instability in deep learning. (arXiv:2302.01952v1 [stat.ML]) http://arxiv.org/abs/2302.01952

Characterization and estimation of high dimensional sparse regression parameters under linear inequality constraints. (arXiv:2302.01974v1 [stat.ME]) http://arxiv.org/abs/2302.01974

multi-GPA-Tree: Statistical Approach for Pleiotropy Informed and Functional Annotation Tree Guided Prioritization of GWAS Results. (arXiv:2302.01982v1 [stat.ME]) http://arxiv.org/abs/2302.01982

Domain Adaptation via Rebalanced Sub-domain Alignment. (arXiv:2302.02009v1 [cs.LG]) http://arxiv.org/abs/2302.02009

Non-greedy Tree-based Learning for Estimating Global Optimal Dynamic Treatment Decision Rules with Continuous Treatment Dosage. (arXiv:2302.02015v1 [stat.ME]) http://arxiv.org/abs/2302.02015

A Simple Approach for Local and Global Variable Importance in Nonlinear Regression Models. (arXiv:2302.02024v1 [stat.ME]) http://arxiv.org/abs/2302.02024

An Asymptotically Optimal Algorithm for the One-Dimensional Convex Hull Feasibility Problem. (arXiv:2302.02033v1 [stat.ML]) http://arxiv.org/abs/2302.02033

mixdistreg: An R Package for Fitting Mixture of Experts Distributional Regression with Adaptive First-order Methods. (arXiv:2302.02043v1 [stat.CO]) http://arxiv.org/abs/2302.02043

Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines. (arXiv:2302.02053v1 [stat.ME]) http://arxiv.org/abs/2302.02053

Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting. (arXiv:2302.02056v1 [cs.DS]) http://arxiv.org/abs/2302.02056

Augmented Learning of Heterogeneous Treatment Effects via Gradient Boosting Trees. (arXiv:2302.01367v1 [stat.ML]) http://arxiv.org/abs/2302.01367

Perspectives on harm in personalized medicine. (arXiv:2302.01371v1 [stat.AP]) http://arxiv.org/abs/2302.01371

Statistical Verification of Traffic Systems with Expected Differential Privacy. (arXiv:2302.01388v1 [cs.CR]) http://arxiv.org/abs/2302.01388

Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2. (arXiv:2302.01407v1 [stat.ME]) http://arxiv.org/abs/2302.01407

Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective. (arXiv:2302.01425v1 [cs.LG]) http://arxiv.org/abs/2302.01425

Dataset Distillation Fixes Dataset Reconstruction Attacks. (arXiv:2302.01428v1 [cs.LG]) http://arxiv.org/abs/2302.01428

Challenges and Successes of Emergency Online Teaching in Statistics Courses. (arXiv:2302.01476v1 [stat.OT]) http://arxiv.org/abs/2302.01476

Improving Recommendation Relevance by simulating User Interest. (arXiv:2302.01522v1 [math.NA]) http://arxiv.org/abs/2302.01522

Four principles for improved statistical ecology. (arXiv:2302.01528v1 [stat.ME]) http://arxiv.org/abs/2302.01528

Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation. (arXiv:2302.01529v1 [math.NA]) http://arxiv.org/abs/2302.01529