Introduction to Implicit Regularization

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Implicit Regularization Comprehensive Overview

Nati Srebro (Toyota Technological Institute at Chicago) https://simons.berkeley.edu/talks/ For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To ... Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop IV: Efficient Tensor ...

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Summary & Highlights for Implicit Regularization

  • Wei Hu (UC Berkeley) Meet the Fellows Welcome Event.
  • Nati Srebro (Toyota Technological Institute at Chicago) https://simons.berkeley.edu/talks/
  • For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To ...
  • Yuxin Chen, Princeton University https://simons.berkeley.edu/talks/yuxin-chen-11-29-17 Optimization, Statistics and Uncertainty.
  • I present theoretical results on the effect of subsampling in ensembles. Specifically, when each member of an ensemble of ...

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