More from the Same Authors

• 2021 : Simulated User Studies for Explanation Evaluation »
  Valerie Chen · Gregory Plumb · Nicholay Topin · Ameet S Talwalkar
• 2021 : Bayesian Persuasion for Algorithmic Recourse »
  Keegan Harris · Valerie Chen · Joon Kim · Ameet S Talwalkar · Hoda Heidari · Steven Wu
• 2021 : Bayesian Persuasion for Algorithmic Recourse »
  Keegan Harris · Valerie Chen · Joon Kim · Ameet S Talwalkar · Hoda Heidari · Steven Wu
• 2021 : [S9] Simulated User Studies for Explanation Evaluation »
  Valerie Chen · Gregory Plumb · Nicholay Topin · Ameet S Talwalkar
• 2017 Poster: Variable Importance Using Decision Trees »
  Jalil Kazemitabar · Arash Amini · Adam Bloniarz · Ameet S Talwalkar
• 2017 Poster: Federated Multi-Task Learning »
  Virginia Smith · Chao-Kai Chiang · Maziar Sanjabi · Ameet S Talwalkar
• 2016 Poster: Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale »
  Firas Abuzaid · Joseph K Bradley · Feynman Liang · Andrew Feng · Lee Yang · Matei Zaharia · Ameet S Talwalkar
• 2014 Workshop: Distributed Machine Learning and Matrix Computations »
  Reza Zadeh · Ion Stoica · Ameet S Talwalkar
• 2011 Workshop: Sparse Representation and Low-rank Approximation »
  Ameet S Talwalkar · Lester W Mackey · Mehryar Mohri · Michael W Mahoney · Francis Bach · Mike Davies · Remi Gribonval · Guillaume R Obozinski
• 2011 Poster: Divide-and-Conquer Matrix Factorization »
  Lester W Mackey · Ameet S Talwalkar · Michael Jordan
• 2010 Workshop: Low-rank Methods for Large-scale Machine Learning »
  Arthur Gretton · Michael W Mahoney · Mehryar Mohri · Ameet S Talwalkar
• 2009 Poster: Ensemble Nystrom Method »
  Sanjiv Kumar · Mehryar Mohri · Ameet S Talwalkar