NIPS Proceedingsβ

Adam Klivans

4 Papers

  • List-decodable Linear Regression (2019)
  • Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals (2019)
  • Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks (2017)
  • Sparse Polynomial Learning and Graph Sketching (2014)