|
2018-2019 |
Rakesh Achanta |
Hastie |
Taylor, Tibshirani |
Boosting Like Path Algorithms for L1 Regularized Infinite Dimensional Convex Neural Networks |
|
2018-2019 |
Yu Bai |
Duchi |
Montanari, Candes |
When do gradient methods work well in non-convex learning problems? |
|
2018-2019 |
Nan Bi |
Taylor |
Tibshirani, Lai |
Topics in Selective Inference and its Application to Instrumental Variables |
|
2018-2019 |
Alex Chin |
Ugander (MSE) |
Walther, Palacios |
Modern Statistical Approaches for Randomized Experiments Under Interference |
|
2018-2019 |
Wenfei Du |
Tibshirani |
Taylor, Imbens (GSB) |
Some hierarchical and group regularization methods and applications |
|
2018-2019 |
Leying Guan |
Tibshirani/Wong |
Efron |
Classification and testing under robust model assumptions |
|
2018-2019 |
Eugene Katsevich |
Sabatti |
Candes, Montanari |
Multiple Testing with Structure and Exploration |
|
2018-2019 |
Keli Liu |
Tibshirani |
Owen, Wager (GSB) |
A Computationally Conscious Search for Interactions |
|
2018-2019 |
Jing Miao |
Lai |
Walther, Lu (BDS) |
Health and loan default risk analytics: Prediction models and their evaluation |
|
2018-2019 |
Paulo Orenstein |
Diaconis |
Chatterjee, Wong |
Topics in Robust Mean Estimation |
|
2018-2019 |
Feng Ruan |
Duchi |
Johnstone, Candes |
Adapting local minimax theory to modern applications |
|
2018-2019 |
Pragya Sur |
Candes |
Montanari, Johnstone |
A Modern Maximum Likelihood Theory for High-Dimensional Logistic Regression |
|
2018-2019 |
David Walsh |
Johari (MS&E) |
Efron, Owen |
How to design and analyze online A/B tests within decentralized organizations |
|
2018-2019 |
Jeha Yang |
Johnstone |
Owen, Donoho |
Edgeworth approximations for spiked PCA models and applications |
