Modeling Epidemic Spread: A Gaussian Process Regression Approach. arxiv.org/abs/2312.09384

Estimating the history of a random recursive tree. arxiv.org/abs/2403.09755

Progressive Entropic Optimal Transport Solvers. arxiv.org/abs/2406.05061

Survey of Data-driven Newsvendor: Unified Analysis and Spectrum of Achievable Regrets. arxiv.org/abs/2409.03505

S$^3$Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching. arxiv.org/abs/2408.08567

Statistical Jump Model for Mixed-Type Data with Missing Data Imputation. arxiv.org/abs/2409.01208

Performance of Cross-Validated Targeted Maximum Likelihood Estimation. arxiv.org/abs/2409.11265

Outlier Detection with Cluster Catch Digraphs. arxiv.org/abs/2409.11596

Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks. arxiv.org/abs/2409.11772

Cartan moving frames and the data manifolds. arxiv.org/abs/2409.12057

Decomposing Gaussians with Unknown Covariance. arxiv.org/abs/2409.11497

PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities. arxiv.org/abs/2409.11618

Recurrent Interpolants for Probabilistic Time Series Prediction. arxiv.org/abs/2409.11684

Adversarial attacks on neural networks through canonical Riemannian foliations. arxiv.org/abs/2203.00922

Bagged Polynomial Regression and Neural Networks. arxiv.org/abs/2205.08609

Enhancing Changepoint Detection: Penalty Learning through Deep Learning Techniques. arxiv.org/abs/2408.00856

An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models. arxiv.org/abs/2408.11977

ROOT-SGD: Sharp Nonasymptotics and Near-Optimal Asymptotics in a Single Algorithm. arxiv.org/abs/2008.12690

A geometric view on probabilistically robust learning. arxiv.org/abs/2305.18779

Deep Neural Network Benchmarks for Selective Classification. arxiv.org/abs/2401.12708