NIPS Proceedingsβ

Gregory Valiant

9 Papers

  • A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families (2019)
  • Making AI Forget You: Data Deletion in Machine Learning (2019)
  • A Spectral View of Adversarially Robust Features (2018)
  • Estimating Learnability in the Sublinear Data Regime (2018)
  • Learning Overcomplete HMMs (2017)
  • Learning Populations of Parameters (2017)
  • Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction (2016)
  • Testing Closeness With Unequal Sized Samples (2015)
  • Estimating the Unseen: Improved Estimators for Entropy and other Properties (2013)