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Poster
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Tue 14:00
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SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
Majid Jahani · MohammadReza Nazari · Rachael Tappenden · Albert Berahas · Martin Takac
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Poster
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Tue 18:30
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Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
Peiyuan Zhang · Antonio Orvieto · Hadi Daneshmand · Thomas Hofmann · Roy S. Smith
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Poster
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Thu 7:30
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Explicit Regularization of Stochastic Gradient Methods through Duality
Anant Raj · Francis Bach
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Poster
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Thu 7:30
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Iterative regularization for convex regularizers
Cesare Molinari · Mathurin Massias · Lorenzo Rosasco · Silvia Villa
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Poster
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Wed 6:00
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Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
Alicia Curth · Mihaela van der Schaar
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Poster
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Wed 6:00
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A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
Dmitry Kovalev · Anastasia Koloskova · Martin Jaggi · Peter Richtarik · Sebastian Stich
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Poster
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Tue 14:00
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Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
Damien Scieur · Lewis Liu · Thomas Pumir · Nicolas Boumal
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Poster
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Thu 7:30
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LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads
Hossein Shokri Ghadikolaei · Sebastian Stich · Martin Jaggi
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Poster
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Thu 7:30
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Local SGD: Unified Theory and New Efficient Methods
Eduard Gorbunov · Filip Hanzely · Peter Richtarik
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Poster
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Wed 6:00
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Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
Jia-Jie Zhu · Wittawat Jitkrittum · Moritz Diehl · Bernhard Schölkopf
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Poster
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Wed 6:00
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Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
Qi Lei · Sai Ganesh Nagarajan · Ioannis Panageas · xiao wang
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Poster
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Tue 14:00
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Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
Nhuong Nguyen · Toan Nguyen · PHUONG HA NGUYEN · Quoc Tran-Dinh · Lam Nguyen · Marten van Dijk
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