Workshop
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MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times
Artavazd Maranjyan · Omar Shaikh Omar · Peter Richtarik
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Workshop
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Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
Frederik Kunstner · Robin Yadav · Alan Milligan · Mark Schmidt · Alberto Bietti
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Workshop
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On Convergence of SGD with Adaptive Clipping
Egor Shulgin · Peter Richtarik
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Workshop
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Sun 11:30
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Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning, Misha Belkin
Misha Belkin
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Workshop
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dSTAR: Straggler Tolerant and Byzantine Resilient Distributed SGD
Jiahe Yan · Pratik Chaudhari · Leonard Kleinrock
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Workshop
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Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Anchit Jain · Rozhin Nobahari · Aristide Baratin · Stefano Sarao Mannelli
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Workshop
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Sun 14:30
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Talk 1: *MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times* and Talk 2: *Provable non-accelerations of the heavy-ball method*
Artavazd Maranjyan · Gauthier Gidel
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Workshop
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Connections between Schedule-Free SGD, Accelerated SGD Variants, and Weight Averaging
Depen Morwani · Nikhil Vyas · Hanlin Zhang · Sham Kakade
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Workshop
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Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
Hiroki Naganuma · Xinzhi Zhang · Man-Chung Yue · Ioannis Mitliagkas · Russell J. Hewett · Philipp Witte · Yin Tat Lee
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Poster
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Wed 11:00
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Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
Aniket Das · Dheeraj Nagaraj · Soumyabrata Pal · Arun Suggala · Prateek Varshney
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Workshop
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From Gradient Clipping to Normalization for Heavy Tailed SGD
Florian Hübler · Ilyas Fatkhullin · Niao He
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Poster
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Thu 11:00
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Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity
Alexander Tyurin · Marta Pozzi · Ivan Ilin · Peter Richtarik
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