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Poster
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Wed 14:00
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Faster and Scalable Algorithms for Densest Subgraph and Decomposition
Elfarouk Harb · Kent Quanrud · Chandra Chekuri
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Poster
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Thu 9:00
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CCCP is Frank-Wolfe in disguise
Alp Yurtsever · Suvrit Sra
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Poster
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Wed 9:00
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Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
Benjamin Kompa · David Bellamy · Tom Kolokotrones · james m robins · Andrew Beam
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Affinity Workshop
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Evaluation of Convolutional Neural Network and Gradient Boosting Methods for Bug Severity Classification
Aminu Ahmad
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Poster
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Tue 9:00
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SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
Xuan Zhang · Necdet Serhat Aybat · Mert Gurbuzbalaban
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Poster
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Tue 9:00
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Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling
Dmitry Kovalev · Alexander Gasnikov · Peter Richtarik
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Poster
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Wed 9:00
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Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying
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Poster
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Tue 9:00
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Gradient Methods Provably Converge to Non-Robust Networks
Gal Vardi · Gilad Yehudai · Ohad Shamir
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Poster
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Thu 9:00
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Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems
Jan Harold Alcantara · Ching-pei Lee
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Poster
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Wed 9:00
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Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
Tianyi Lin · Zeyu Zheng · Michael Jordan
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Poster
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Thu 9:00
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Automatic Differentiation of Programs with Discrete Randomness
Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas
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Poster
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Thu 9:00
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Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying
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