| Jacob Bien, Cornell | Convex Banding of the Covariance Matrix |
| Andreas Buja, Wharton | Moderate-p Post-Selection Inference |
| Venkat Chandrasekaran, Cal Tech | Latent-Variable Graphical Model Selection via Convex Optimization |
| Johannes Lederer | How to calibrate tuning parameters |
| Jason Lee, Stanford | Selective Inference via the Condition on Selection Framework and Communication-efficient Sparse Regression |
| Hannes Leeb, Vienna | On conditional moments of high-dimensional random vectors given lower-dimensional projections |
| Po-Ling Loh, Wharton | High-dimensional robust M-estimation |
| Richard Samworth, Cambridge | Statistical and computational trade-offs in estimation of sparse principal components |
| Noah Simon, Washington | Adjusting Point Estimates and Confidence Intervals for Selection Bias in High Dimensions as a Frequentist |
| Jon Taylor, Stanford | Selective inference in regression |
| Rob Tibshirani, Stanford | Two novel applications of selective inference |
| Bin Yu, Berkeley | Stability |
| Ming Yuan, Wisconsin | Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation |
| Tong Zhang, Rutgers | Some Recent Progress on Non-Convex Regularization Methods for Sparse Estimation |