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Latest posts
Last updated 25 days ago
Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective
25 days ago
We analyze statistical properties of plug-in estimators for unbalanced optimal transport quantities...
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
25 days ago
Recent work has focused on the potential and pitfalls of causal identification...
Rank-one Convexification for Sparse Regression
25 days ago
Sparse regression models are increasingly prevalent due to their ease of interpretability...
Optimizing Data Collection for Machine Learning
25 days ago
Modern deep learning systems require huge data sets to achieve impressive performance...
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
25 days ago
Stochastic gradient methods for minimizing nonconvex composite objective functions typically rely on...
On the Approximation of Kernel functions
25 days ago
Various methods in statistical learning build on kernels considered in reproducing kernel...
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models
25 days ago
Score-based generative models are a recent class of deep generative models with...
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
25 days ago
A notable challenge of leveraging Electronic Health Records (EHR) for treatment effect...
Extremal graphical modeling with latent variables via convex optimization
25 days ago
Extremal graphical models encode the conditional independence structure of multivariate extremes and...
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
25 days ago
In this work, we investigate the dynamics of stochastic gradient descent (SGD)...
DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning
25 days ago
Bayesian networks (BNs) are a powerful tool for knowledge representation and reasoning...
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
25 days ago
The expected improvement (EI) is one of the most popular acquisition functions...