"Stochastic linear optimization never overfits with quadratically-bounded ..."

Matus Telgarsky (2022)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-07-12

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/colt/Telgarsky22
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  persistent URL:
  - https://dblp.org/rec/conf/colt/Telgarsky22
Matus Telgarsky:
Stochastic linear optimization never overfits with quadratically-bounded losses on general data. COLT 2022: 5453-5488

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