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Poster
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Tue 14:00
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Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications
Shinsaku Sakaue
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Poster
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Wed 6:00
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Adaptive Sampling for Fast Constrained Maximization of Submodular Functions
Francesco Quinzan · Vanja Doskoc · Andreas Göbel · Tobias Friedrich
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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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Tue 14:00
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Random Coordinate Underdamped Langevin Monte Carlo
Zhiyan Ding · Qin Li · Jianfeng Lu · Stephen Wright
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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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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 12:45
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Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
yuyang deng · Mehrdad Mahdavi
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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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Tue 18:30
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vqSGD: Vector Quantized Stochastic Gradient Descent
Venkata Gandikota · Daniel Kane · Raj Kumar Maity · Arya Mazumdar
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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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Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
Sebastian Stich · Amirkeivan Mohtashami · Martin Jaggi
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Poster
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Wed 12:45
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Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization
Zichong Li · Pin-Yu Chen · Sijia Liu · Songtao Lu · Yangyang Xu
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