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cs.LG2024
Geometric Analysis of Unconstrained Feature Models with
Yi Shen, Shao Gu
Recently, interesting empirical phenomena known as Neural Collapse have been observed during the final phase of training deep neural networks for classification tasks. We examine t…
cs.DS2024
First Passage Percolation with Queried Hints
Kritkorn Karntikoon, Yiheng Shen, Sreenivas Gollapudi +3
Solving optimization problems leads to elegant and practical solutions in a wide variety of real-world applications. In many of those real-world applications, some of the informati…
q-fin.RM2024
Partial Law Invariance and Risk Measures
Yi Shen, Zachary Van Oosten, Ruodu Wang
We introduce the concept of partial law invariance, generalizing the concepts of law invariance and probabilistic sophistication widely used in decision theory, as well as statisti…