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2002.00057
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Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems
31 January 2020
Noah Golowich
S. Pattathil
C. Daskalakis
Asuman Ozdaglar
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Papers citing
"Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems"
6 / 56 papers shown
Title
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
Jelena Diakonikolas
C. Daskalakis
Michael I. Jordan
184
149
0
31 Oct 2020
LEAD: Min-Max Optimization from a Physical Perspective
Reyhane Askari Hemmat
Amartya Mitra
Guillaume Lajoie
Ioannis Mitliagkas
151
1
0
26 Oct 2020
Tight last-iterate convergence rates for no-regret learning in multi-player games
Noah Golowich
S. Pattathil
C. Daskalakis
160
84
0
26 Oct 2020
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints
Guodong Zhang
Xuchao Bao
Laurent Lessard
Roger C. Grosse
107
25
0
23 Sep 2020
The Complexity of Constrained Min-Max Optimization
C. Daskalakis
Stratis Skoulakis
Manolis Zampetakis
171
138
0
21 Sep 2020
Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei
Chung-Wei Lee
Mengxiao Zhang
Haipeng Luo
168
11
0
16 Jun 2020
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