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math.ST2023
On the sample complexity of parameter estimation in logistic regression with normal design
Daniel Hsu, Arya Mazumdar
The logistic regression model is one of the most popular data generation model in noisy binary classification problems. In this work, we study the sample complexity of estimating t…
cs.LG2023★ 13 cited
Representational Strengths and Limitations of Transformers
Clayton Sanford, Daniel Hsu, Matus Telgarsky
Attention layers, as commonly used in transformers, form the backbone of modern deep learning, yet there is no mathematical description of their benefits and deficiencies as compar…