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Poster
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Tue 8:45
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Precise asymptotic generalization for multiclass classification with overparameterized linear models
David Wu · Anant Sahai
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Workshop
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Feature Selection in Generalized Linear models via the Lasso: To Scale or Not to Scale?
Anant Mathur · Sarat Moka
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Workshop
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Sat 8:30
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Phase Retrieval via Deep Expectation-Consistent Approximation
Saurav Shastri · Philip Schniter
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Workshop
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Generalised Hyperbolic State-space Models for Inference in Dynamic Systems
Yaman Kindap · Simon Godsill
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Poster
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Wed 15:00
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Reusing Pretrained Models by Multi-linear Operators for Efficient Training
Yu Pan · Ye Yuan · Yichun Yin · Zenglin Xu · Lifeng Shang · Xin Jiang · Qun Liu
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Workshop
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Towards Better Understanding of Domain Shift on Linear-Probed Visual Foundation Models
Eric Heim
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Workshop
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Trained Transformers Learn Linear Models In-Context
Ruiqi Zhang · Spencer Frei · Peter Bartlett
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Poster
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Tue 15:15
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The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
Ryan Thompson · Amir Dezfouli · robert kohn
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Workshop
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Fri 7:50
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The Linear Representation Hypothesis in Language Models
Kiho Park
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Workshop
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Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPT
Zechen Zhang · Dean Hazineh · Jeffrey Chiu
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Workshop
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Trained Transformers Learn Linear Models In-Context
Ruiqi Zhang · Spencer Frei · Peter Bartlett
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Workshop
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The Linear Representation Hypothesis in Language Models
Kiho Park · Yo Joong Choe · Victor Veitch
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