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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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Tue 9:00
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Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
YAO SHU · Zhongxiang Dai · Zhaoxuan Wu · Bryan Kian Hsiang Low
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Poster
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Thu 14:00
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Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
Caio Kalil Lauand · Sean Meyn
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Poster
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Tue 14:00
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Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Lior Danon · Dan Garber
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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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Tue 14:00
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A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi
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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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Thu 9:00
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Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon · Danielle Hausler · Arun Jambulapati · Yujia Jin · Aaron Sidford
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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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