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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 09:00 PM -- 09:20 PM (KST)
Optimizing persistent homology based functions
In Optimization (Nonconvex)
Mathieu Carrière · Frederic Chazal · Marc Glisse · Yuichi Ike · Hariprasad Kannan · Yuhei Umeda
[ Paper ]
Spotlight
Wed Jul 21 09:20 PM -- 09:25 PM (KST)
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
In Optimization (Nonconvex)
Valerii Likhosherstov · Xingyou Song · Krzysztof Choromanski · Jared Quincy Davis · Adrian Weller
[ Paper ]
Spotlight
Wed Jul 21 09:25 PM -- 09:30 PM (KST)
SMG: A Shuffling Gradient-Based Method with Momentum
In Optimization (Nonconvex)
Trang Tran · Lam Nguyen · Quoc Tran-Dinh
[ Paper ]
Spotlight
Wed Jul 21 09:30 PM -- 09:35 PM (KST)
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
In Optimization (Nonconvex)
Nadav Hallak · Panayotis Mertikopoulos · Volkan Cevher
[ Paper ]
Spotlight
Wed Jul 21 09:35 PM -- 09:40 PM (KST)
MARINA: Faster Non-Convex Distributed Learning with Compression
In Optimization (Nonconvex)
Eduard Gorbunov · Konstantin Burlachenko · Zhize Li · Peter Richtarik
[ Paper ]
Spotlight
Wed Jul 21 09:40 PM -- 09:45 PM (KST)
Bilevel Optimization: Convergence Analysis and Enhanced Design
In Optimization (Nonconvex)
Kaiyi Ji · Junjie Yang · Yingbin LIANG
[ Paper ]
Spotlight
Wed Jul 21 09:45 PM -- 09:50 PM (KST)
Learning from History for Byzantine Robust Optimization
In Optimization (Nonconvex)
Sai Praneeth Reddy Karimireddy · Lie He · Martin Jaggi
[ Paper ]
Q&A
Wed Jul 21 09:50 PM -- 09:55 PM (KST)
Q&A
In Optimization (Nonconvex)