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