MLSP-L3: Optimization Algorithms II |
| Session Type: Lecture |
| Time: Wednesday, 6 May, 16:30 - 18:30 |
| Location: On-Demand |
| Virtual Session: View on Virtual Platform |
| Session Chair: Yue Lu, Harvard University |
| MLSP-L3.1: EXTRAPOLATED ALTERNATING ALGORITHMS FOR APPROXIMATE CANONICAL POLYADIC DECOMPOSITION |
| Andersen Man Shun Ang; Université de Mons |
| Jeremy E. Cohen; CNRS |
| Le Thi Khanh Hien; Université de Mons |
| Nicolas Gillis; Université de Mons |
| MLSP-L3.2: SCALABLE KERNEL LEARNING VIA THE DISCRIMINANT INFORMATION |
| Mert Al; Princeton University |
| Zejiang Hou; Princeton University |
| Sun-Yuan Kung; Princeton University |
| MLSP-L3.3: ARSM GRADIENT ESTIMATOR FOR SUPERVISED LEARNING TO RANK |
| Siamak Zamani Dadaneh; Texas A&M University |
| Shahin Boluki; Texas A&M University |
| Mingyuan Zhou; University of Texas at Austin |
| Xiaoning Qian; Texas A&M University |
| MLSP-L3.4: SOLVING NON-CONVEX NON-DIFFERENTIABLE MIN-MAX GAMES USING PROXIMAL GRADIENT METHOD |
| Babak Barazandeh; University of Southern California |
| Meisam Razaviyayn; University of Southern California |
| MLSP-L3.5: A FAST AND ACCURATE FREQUENT DIRECTIONS ALGORITHM FOR LOW RANK APPROXIMATION VIA BLOCK KRYLOV ITERATION |
| Qianxin Yi; Xi'an Jiaotong University |
| Chenhao Wang; Xi'an Jiaotong University |
| Xiuwu Liao; Xi'an Jiaotong University |
| Yao Wang; Xi'an Jiaotong University |
| MLSP-L3.6: STOCHASTIC ADMM FOR BYZANTINE-ROBUST DISTRIBUTED LEARNING |
| Feng Lin; Sun Yat-Sen University |
| Qing Ling; Sun Yat-Sen University |
| Weiyu Li; University of Science and Technology of China |
| Zhiwei Xiong; University of Science and Technology of China |