Seminars

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Seminars&Events

Enhancing efficiency and robustness in high-dimensional linear regression with additional unlabeled data

2024-05-13

Bias-Correction and Test for Mark-Point Dependence with Replicated Marked Point Processes

2024-05-10

Physics-driven machine learning for visual signal reconstruction and generation

2024-05-07

Some Algorithms on Sparse Reduced-Rank Regression

2024-05-06

Two phases of scaling laws for nearest neighbor classifiers

2024-05-06

Subgroup Logistic Regression for Customer Churn: a Novel Predictive Framework

2024-04-24

Statistical inference for high-dimensional convoluted rank regression

2024-04-24

Statistical Neuroimaging Analysis: An Overview

2024-04-22

Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models

2024-04-18

From Sub-Gaussian Non-asymptotic Inference to Infinite Variance Statistical Learning

2024-04-18

Simultaneous Heterogeneous and Reduced-rank Learning for Multivariate Response Regression

2024-04-18

Summary of Effect Aliasing Structure for Design Selection and Factor-Column Assignment for Supersaturated Designs

2024-04-07

Statistical Inference for High-Dimensional and Functional Data via Bootstrapping

2024-04-02

Generative Al on Smooth Manifolds

2024-03-29

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