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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