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Poster
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Tue 10:30
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Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
Majid Jahani · Sergey Rusakov · Zheng Shi · Peter Richtarik · Michael W Mahoney · Martin Takac
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Poster
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Thu 10:30
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Optimization and Adaptive Generalization of Three layer Neural Networks
Khashayar Gatmiry · Stefanie Jegelka · Jonathan Kelner
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Poster
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Tue 10:30
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Permutation-Based SGD: Is Random Optimal?
Shashank Rajput · Kangwook Lee · Dimitris Papailiopoulos
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Poster
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Thu 18:30
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Shuffle Private Stochastic Convex Optimization
Albert Cheu · Matthew Joseph · Jieming Mao · Binghui Peng
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Poster
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Wed 10:30
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The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
Yifei Wang · Jonathan Lacotte · Mert Pilanci
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Oral
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Tue 1:45
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The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
Yifei Wang · Jonathan Lacotte · Mert Pilanci
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Poster
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Wed 2:30
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Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
Chulhee Yun · Shashank Rajput · Suvrit Sra
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Oral
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Tue 2:00
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Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
Chulhee Yun · Shashank Rajput · Suvrit Sra
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Poster
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Wed 10:30
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The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program
Yifei Wang · Mert Pilanci
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Poster
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Mon 18:30
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Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
Tolga Ergen · Arda Sahiner · Batu Ozturkler · John M Pauly · Morteza Mardani · Mert Pilanci
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