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Oral
Wed Jun 12 02:00 PM -- 02:20 PM (PDT) @ Room 104
Almost surely constrained convex optimization
Olivier Fercoq · Ahmet Alacaoglu · Ion Necoara · Volkan Cevher
Oral
Wed Jun 12 02:20 PM -- 02:25 PM (PDT) @ Room 104
Generalized Majorization-Minimization
Sobhan Naderi Parizi · Kun He · Reza Aghajani · Stan Sclaroff · Pedro Felzenszwalb
Oral
Wed Jun 12 02:25 PM -- 02:30 PM (PDT) @ Room 104
On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization
Hao Yu · rong jin
Oral
Wed Jun 12 02:30 PM -- 02:35 PM (PDT) @ Room 104
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
Michael Metel · Akiko Takeda
Oral
Wed Jun 12 02:35 PM -- 02:40 PM (PDT) @ Room 104
Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization
zhenxun zhuang · Ashok Cutkosky · Francesco Orabona
Oral
Wed Jun 12 02:40 PM -- 03:00 PM (PDT) @ Room 104
Efficient Dictionary Learning with Gradient Descent
Dar Gilboa · Sam Buchanan · John Wright
Oral
Wed Jun 12 03:00 PM -- 03:05 PM (PDT) @ Room 104
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Ernest Ryu · Jialin Liu · Sicheng Wang · Xiaohan Chen · Zhangyang Wang · Wotao Yin
Oral
Wed Jun 12 03:05 PM -- 03:10 PM (PDT) @ Room 104
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
Hiroyuki Kasai · Pratik Kumar Jawanpuria · Bamdev Mishra
Oral
Wed Jun 12 03:10 PM -- 03:15 PM (PDT) @ Room 104
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
Yi Xu · Qi Qi · Qihang Lin · rong jin · Tianbao Yang
Oral
Wed Jun 12 03:15 PM -- 03:20 PM (PDT) @ Room 104
Alternating Minimizations Converge to Second-Order Optimal Solutions
Qiuwei Li · Zhihui Zhu · Gongguo Tang