NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 13:30-13:55 | 13:30-13:55 | Invited Talk |
Theoretical Guarantees for Alternative Least Square Algorithm in Tensor CP Decomposition |
Anru Zhang | Duke University |
2 | 13:55-14:20 | 13:55-14:20 | Invited Talk |
Statistical Inference for Low-Rank Tensor Models |
Yuefeng Han | University of Notre Dame |
3 | 14:20-14:45 | 14:20-14:45 | Invited Talk |
Robust and Optimal Tensor Estimation via Robust Gradient Descent |
Xiaoyu Zhang | Tongji University |
4 | 14:45-15:10 | 14:45-15:10 | Invited Talk |
Robust Matrix Estimation with Kronecker Product Structures via Scaled Projected Gradient Descent |
Di Wang | Shanghai Jiao Tong University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 15:30-15:55 | 15:30-15:55 | Invited Talk |
Privacy Introduces Minor Trade-Offs in Fine-Tuning: A Representation Learning Perspective |
Chendi Wang | Xiamen University |
2 | 15:55-16:20 | 15:55-16:20 | Invited Talk |
Generalizability through the Lens of Distributional Learning |
Xinwei Shen | ETH Zurich |
3 | 16:20-16:45 | 16:20-16:45 | Invited Talk |
Multi-source stable variable importance measure via adversarial machine |
Molei Liu | Peking University |
4 | 16:45-17:10 | 16:45-17:10 | Invited Talk |
Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data |
Dan Yang | The University of Hong Kong |