|
Oral
|
Tue 12:15 |
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences Mucong Ding · Constantinos Daskalakis · Soheil Feizi |
|
|
Poster
|
Tue 14:00 |
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions Hossein Taheri · Ramtin Pedarsani · Christos Thrampoulidis |
|
|
Poster
|
Tue 14:00 |
Active Learning under Label Shift Eric Zhao · Anqi Liu · Animashree Anandkumar · Yisong Yue |
|
|
Poster
|
Tue 18:30 |
Taming heavy-tailed features by shrinkage Ziwei Zhu · Wenjing Zhou |
|
|
Poster
|
Tue 18:30 |
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences Mucong Ding · Constantinos Daskalakis · Soheil Feizi |
|
|
Poster
|
Tue 18:30 |
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification Tianyi Lin · Zeyu Zheng · Elynn Chen · Marco Cuturi · Michael Jordan |
|
|
Poster
|
Tue 18:30 |
On the High Accuracy Limitation of Adaptive Property Estimation Yanjun Han |
|
|
Poster
|
Tue 18:30 |
Identification of Matrix Joint Block Diagonalization Yunfeng Cai · Ping Li |
|
|
Poster
|
Tue 18:30 |
Stability and Risk Bounds of Iterative Hard Thresholding Xiaotong Yuan · Ping Li |
|
|
Poster
|
Wed 6:00 |
Predictive Complexity Priors Eric Nalisnick · Jonathan Gordon · Jose Miguel Hernandez-Lobato |
|
|
Poster
|
Wed 6:00 |
Efficient Statistics for Sparse Graphical Models from Truncated Samples Arnab Bhattacharyya · Rathin Desai · Sai Ganesh Nagarajan · Ioannis Panageas |
|
|
Poster
|
Wed 6:00 |
High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding Hannah Marienwald · Jean-Baptiste Fermanian · Gilles Blanchard |