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Poster
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Tue 9:00
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Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
Abhishek Roy · Krishnakumar Balasubramanian · Saeed Ghadimi
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Poster
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Wed 14:00
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On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow · Kaiyi Ji · Yingbin Liang
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Poster
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Tue 9:00
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Sharpness-Aware Training for Free
JIAWEI DU · Daquan Zhou · Jiashi Feng · Vincent Tan · Joey Tianyi Zhou
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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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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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Poster
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[Re] Projection-based Algorithm for Updating the TruncatedSVD of Evolving Matrices
Andy Chen · Shion Matsumoto · Rohan Sinha Varma
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Poster
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Thu 9:00
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Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
Chinmay Maheshwari · Shankar Sastry · Eric Mazumdar
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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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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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Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective
Jiadong Liang · Yuze Han · Xiang Li · Zhihua Zhang
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