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Poster
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Fri 16:30
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High-dimensional (Group) Adversarial Training in Linear Regression
Yiling Xie · Xiaoming Huo
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Poster
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Wed 11:00
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Linear Regression using Heterogeneous Data Batches
Ayush Jain · Rajat Sen · Weihao Kong · Abhimanyu Das · Alon Orlitsky
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Poster
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Fri 16:30
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How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
Xingwu Chen · Lei Zhao · Difan Zou
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Poster
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Fri 11:00
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Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
Deqing Fu · Tian-qi Chen · Robin Jia · Vatsal Sharan
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Poster
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Fri 16:30
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Scaling Laws in Linear Regression: Compute, Parameters, and Data
Licong Lin · Jingfeng Wu · Sham Kakade · Peter Bartlett · Jason Lee
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Workshop
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What Representational Similarity Measures Imply about Decodable Information
Sarah Harvey · David Lipshutz · Alex Williams
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Workshop
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What Representational Similarity Measures Imply about Decodable Information
Sarah Harvey · David Lipshutz · Alex Williams
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Poster
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Deep linear networks for regression are implicitly regularized towards flat minima
Pierre Marion · Lénaïc Chizat
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Poster
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Wed 16:30
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Truthful High Dimensional Sparse Linear Regression
Liyang Zhu · Amina Manseur · Meng Ding · Jinyan Liu · Jinhui Xu · Di Wang
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Workshop
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Benign Overfitting in Out-of-Distribution Generalization of Linear Models
Shange Tang · Jiayun Wu · Jianqing Fan · Chi Jin
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