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Poster
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Thu 14:00
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On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiaotong Yuan · Ping Li
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Poster
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Thu 14:00
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Detection and Localization of Changes in Conditional Distributions
Lizhen Nie · Dan Nicolae
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Poster
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Thu 9:00
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Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox
Abdurakhmon Sadiev · Dmitry Kovalev · Peter Richtarik
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Poster
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Tue 14:00
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Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero · Yann LeCun
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Poster
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Wed 9:00
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Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
Tao Liu · P. R. Kumar · Ruida Zhou · Xi Liu
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Poster
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Wed 9:00
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A Damped Newton Method Achieves Global O(1k2) and Local Quadratic Convergence Rate
Slavomír Hanzely · Dmitry Kamzolov · Dmitry Pasechnyuk · Alexander Gasnikov · Peter Richtarik · Martin Takac
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Poster
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Wed 14:00
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Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber
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Workshop
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From Local to Global: Spectral-Inspired Graph Neural Networks
Ningyuan Huang · Soledad Villar · Carey E Priebe · Da Zheng · Chengyue Huang · Lin Yang · Vladimir Braverman
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Poster
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Tue 14:00
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A Spectral Approach to Item Response Theory
Duc Nguyen · Anderson Ye Zhang
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Poster
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Thu 14:00
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The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
Jean Barbier · TianQi Hou · Marco Mondelli · Manuel Saenz
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