Posts

• Sep 22, 2021

  [OPML#7] BLN20 & BS21: Smoothness and robustness of neural net interpolators

• Sep 11, 2021

  [OPML#6] XH19: On the number of variables to use in principal component regression

• Aug 15, 2021

  How many neurons are needed to approximate smooth functions? A summary of our COLT 2021 paper

• Jul 30, 2021

  [OPML#5] BL20: Failures of model-dependent generalization bounds for least-norm interpolation

• Jul 23, 2021

  [OPML#4] HMRT19: Surprises in high-dimensional ridgeless least squares interpolation

• Jul 16, 2021

  Orthonormal function bases: what they are and why we care

• Jul 16, 2021

  [OPML#3] MVSS19: Harmless interpolation of noisy data in regression

• Jul 11, 2021

  [OPML#2] BLLT19: Benign overfitting in linear regression

• Jul 5, 2021

  [OPML#1] BHX19: Two models of double descent for weak features

• Jul 4, 2021

  [OPML#0] A series of posts on over-parameterized machine learning models

subscribe via RSS