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Workshop
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Learning Dynamic Graph Embeddings Using Random Walk With Temporal Backtracking
Chenghan Huang · Lili Wang · Xinyuan Cao · Weicheng Ma · Soroush Vosoughi
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Poster
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Thu 9:00
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High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang
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Workshop
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Fri 14:00
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A Design-Based Riesz Representation Framework For Randomized Experiments
Christopher Harshaw · Yitan Wang · Fredrik Sävje
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Poster
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Wed 9:00
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Parameter-Efficient Masking Networks
Yue Bai · Huan Wang · Xu Ma · Yitian Zhang · Zhiqiang Tao · Yun Fu
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Poster
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Thu 9:00
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Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Konstantin Schürholt · Boris Knyazev · Xavier Giró-i-Nieto · Damian Borth
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Workshop
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Sat 9:05
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Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan
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Workshop
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Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan
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