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Oral
Thu Jun 13 06:00 AM -- 06:20 AM (KST) @ Room 104
Almost surely constrained convex optimization
In Optimization: Convex and Non-convex
Olivier Fercoq · Ahmet Alacaoglu · Ion Necoara · Volkan Cevher
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:20 AM -- 06:25 AM (KST) @ Room 104
Generalized Majorization-Minimization
In Optimization: Convex and Non-convex
Sobhan Naderi Parizi · Kun He · Reza Aghajani · Stan Sclaroff · Pedro Felzenszwalb
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:25 AM -- 06:30 AM (KST) @ Room 104
On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization
In Optimization: Convex and Non-convex
Hao Yu · rong jin
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:30 AM -- 06:35 AM (KST) @ Room 104
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
In Optimization: Convex and Non-convex
Michael Metel · Akiko Takeda
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:35 AM -- 06:40 AM (KST) @ Room 104
Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization
In Optimization: Convex and Non-convex
zhenxun zhuang · Ashok Cutkosky · Francesco Orabona
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:40 AM -- 07:00 AM (KST) @ Room 104
Efficient Dictionary Learning with Gradient Descent
In Optimization: Convex and Non-convex
Dar Gilboa · Sam Buchanan · John Wright
[ Video] 
Oral
Thu Jun 13 07:00 AM -- 07:05 AM (KST) @ Room 104
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
In Optimization: Convex and Non-convex
Ernest Ryu · Jialin Liu · Sicheng Wang · Xiaohan Chen · Zhangyang Wang · Wotao Yin
[ Slides]  [ Video] 
Oral
Thu Jun 13 07:05 AM -- 07:10 AM (KST) @ Room 104
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
In Optimization: Convex and Non-convex
Hiroyuki Kasai · Pratik Kumar Jawanpuria · Bamdev Mishra
[ Slides]  [ Video] 
Oral
Thu Jun 13 07:10 AM -- 07:15 AM (KST) @ Room 104
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
In Optimization: Convex and Non-convex
Yi Xu · Qi Qi · Qihang Lin · rong jin · Tianbao Yang
[ Slides]  [ Video] 
Oral
Thu Jun 13 07:15 AM -- 07:20 AM (KST) @ Room 104
Alternating Minimizations Converge to Second-Order Optimal Solutions
In Optimization: Convex and Non-convex
Qiuwei Li · Zhihui Zhu · Gongguo Tang
[ Slides]  [ Video]