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9 Results
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Poster
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DropCov: A Simple yet Effective Method for Improving Deep Architectures Qilong Wang · Mingze Gao · Zhaolin Zhang · Jiangtao Xie · Peihua Li · Qinghua Hu |
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Poster
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Tue 14:00 |
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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Tue 14:00 |
A Spectral Approach to Item Response Theory Duc Nguyen · Anderson Ye Zhang |
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Poster
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Wed 9:00 |
Globally Gated Deep Linear Networks Qianyi Li · Haim Sompolinsky |
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Workshop
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Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence Diyuan Wu · Vyacheslav Kungurtsev · Marco Mondelli |
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Poster
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Thu 14:00 |
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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Poster
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Wed 14:00 |
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality Ilyas Fatkhullin · Jalal Etesami · Niao He · Negar Kiyavash |
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Poster
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Wed 9:00 |
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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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 |