Poster
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Thu 15:00
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Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
Oisin Faust · Hamza Fawzi
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Spotlight
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Thu 12:40
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Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
Oisin Faust · Hamza Fawzi
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Poster
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Tue 15:30
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AdaGrad Avoids Saddle Points
Kimon Antonakopoulos · Panayotis Mertikopoulos · Georgios Piliouras · Xiao Wang
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Poster
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Tue 15:30
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Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
Jaewook Suh · Gyumin Roh · Ernest Ryu
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Spotlight
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Tue 14:05
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AdaGrad Avoids Saddle Points
Kimon Antonakopoulos · Panayotis Mertikopoulos · Georgios Piliouras · Xiao Wang
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Poster
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Wed 15:30
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Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
Sharan Vaswani · Benjamin Dubois-Taine · Reza Babanezhad
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Spotlight
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Wed 14:00
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Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
Alexander Munteanu · Simon Omlor · Zhao Song · David Woodruff
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Oral
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Tue 8:15
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Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
Jaewook Suh · Gyumin Roh · Ernest Ryu
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Poster
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Wed 15:30
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Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
Alexander Munteanu · Simon Omlor · Zhao Song · David Woodruff
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Poster
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Wed 15:30
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Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Fabrizio Pittorino · Antonio Ferraro · Gabriele Perugini · Christoph Feinauer · Carlo Baldassi · RIccardo Zecchina
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Spotlight
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Wed 14:50
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Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Fabrizio Pittorino · Antonio Ferraro · Gabriele Perugini · Christoph Feinauer · Carlo Baldassi · RIccardo Zecchina
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Poster
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Tue 15:30
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Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ϵ−7/4) Complexity
Huan Li · Zhouchen Lin
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