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Poster
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Thu 14:00
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Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
Yuri Fonseca · Yuri Saporito
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Poster
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Thu 14:00
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On the difficulty of learning chaotic dynamics with RNNs
Jonas Mikhaeil · Zahra Monfared · Daniel Durstewitz
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Poster
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Wed 9:00
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Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Kaining Zhang · Liu Liu · Min-Hsiu Hsieh · Dacheng Tao
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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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Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems
Jan Harold Alcantara · Ching-pei Lee
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Poster
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Thu 9:00
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SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems
Leonid Iosipoi · Anton Vakhrushev
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Workshop
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Conditional gradient-based method for bilevel optimization with convex lower-level problem
Ruichen Jiang · Nazanin Abolfazli · Aryan Mokhtari · Erfan Yazdandoost Hamedani
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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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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 14:00
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Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Pouria Mahdavinia · Yuyang Deng · Haochuan Li · Mehrdad Mahdavi
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Poster
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Tue 14:00
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Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
Lorenzo Noci · Sotiris Anagnostidis · Luca Biggio · Antonio Orvieto · Sidak Pal Singh · Aurelien Lucchi
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