Recent & Upcoming Talks

A probabilistic branch-and-bound algorithm for clusterwise linear regression

Towards optimal adjustments for average equivalence testing

Toward optimal adjustments for average equivalence testing

Multivariate finite-sample adjustments for equivalence testing

Simultaneous feature selection and outlier detection with optimality guarantees

Doubly robust feature selection with mean and variance outlier detection and oracle properties

Approaches for Outlier Detection in Sparse High-Dimensional Regression Models

Simultaneous feature selection and outlier detection with optimality guarantees

Approaches for Robust Feature Selection in High-Dimensional Regression Models

Discrete Optimization for Robust Feature Selection

Investigating the Main Drivers of Honeybee Colony Loss Through Discrete Optimization

Parasitic Mites, Pesticides and Extreme Weather Linked to Honey Bee Loss: a Study Across the United States Through Multiple Open Data Sources

Doubly Robust Feature Selection with Mean and Variance Outlier Detection and Oracle Properties

Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees

Doubly Robust Feature Selection with Mean and Variance Outlier Detection and Oracle Properties

Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees

Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees

Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees

The Main Drivers of Honeybees Loss in the Unites States

A Robust Estimation Approach for Mean-Shift and Variance-Inflation Outliers