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Poster
Thu 15:00 Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
Oisin Faust · Hamza Fawzi
Spotlight
Thu 12:40 Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
Oisin Faust · Hamza Fawzi
Poster
Tue 15:30 AdaGrad Avoids Saddle Points
Kimon Antonakopoulos · Panayotis Mertikopoulos · Georgios Piliouras · Xiao Wang
Poster
Tue 15:30 Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
Jaewook Suh · Gyumin Roh · Ernest Ryu
Spotlight
Tue 14:05 AdaGrad Avoids Saddle Points
Kimon Antonakopoulos · Panayotis Mertikopoulos · Georgios Piliouras · Xiao Wang
Poster
Wed 15:30 Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
Sharan Vaswani · Benjamin Dubois-Taine · Reza Babanezhad
Spotlight
Wed 14:00 Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
Alexander Munteanu · Simon Omlor · Zhao Song · David Woodruff
Oral
Tue 8:15 Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
Jaewook Suh · Gyumin Roh · Ernest Ryu
Poster
Wed 15:30 Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
Alexander Munteanu · Simon Omlor · Zhao Song · David Woodruff
Poster
Wed 15:30 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
Spotlight
Wed 14:50 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
Poster
Tue 15:30 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ϵ7/4) Complexity
Huan Li · Zhouchen Lin