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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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Workshop
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Connectedness of loss landscapes via the lens of Morse theory
Danil Akhtiamov · Matt Thomson
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Workshop
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Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan
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Poster
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Thu 9:00
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Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Hualin Zhang · Huan Xiong · Bin Gu
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Poster
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Tue 9:00
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Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
Aleksandr Beznosikov · Pavel Dvurechenskii · Anastasiia Koloskova · Valentin Samokhin · Sebastian Stich · Alexander Gasnikov
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Poster
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Wed 9:00
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The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization
Dmitry Kovalev · Alexander Gasnikov
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Poster
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Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
Tomoya Murata · Taiji Suzuki
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Poster
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Tue 14:00
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Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Dmitry Kovalev · Aleksandr Beznosikov · Abdurakhmon Sadiev · Michael Persiianov · Peter Richtarik · Alexander Gasnikov
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Poster
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Wed 14:00
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Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Harsh Rangwani · Sumukh K Aithal · Mayank Mishra · Venkatesh Babu R
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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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Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
Aleksandr Beznosikov · Peter Richtarik · Michael Diskin · Max Ryabinin · Alexander Gasnikov
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Poster
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Quasi-Newton Methods for Saddle Point Problems
Chengchang Liu · Luo Luo
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