More from the Same Authors

• 2022 : A Theory of Learning with Competing Objectives and User Feedback »
  Pranjal Awasthi · Corinna Cortes · Yishay Mansour · Mehryar Mohri
• 2022 : Theory and Algorithm for Batch Distribution Drift Problems »
  Pranjal Awasthi · Corinna Cortes · Christopher Mohri
• 2022 : AdaME: Adaptive learning of multisource adaptationensembles »
  Scott Yak · Javier Gonzalvo · Mehryar Mohri · Corinna Cortes
• 2022 : A Theory of Learning with Competing Objectives and User Feedback »
  Pranjal Awasthi · Corinna Cortes · Yishay Mansour · Mehryar Mohri
• 2022 : A Theory of Learning with Competing Objectives and User Feedback »
  Pranjal Awasthi · Corinna Cortes · Yishay Mansour · Mehryar Mohri
• 2021 Poster: Boosting with Multiple Sources »
  Corinna Cortes · Mehryar Mohri · Dmitry Storcheus · Ananda Theertha Suresh
• 2020 Poster: Agnostic Learning with Multiple Objectives »
  Corinna Cortes · Mehryar Mohri · Javier Gonzalvo · Dmitry Storcheus
• 2019 : Poster Session »
  Rishav Chourasia · Yichong Xu · Corinna Cortes · Chien-Yi Chang · Yoshihiro Nagano · So Yeon Min · Benedikt Boecking · Phi Vu Tran · Kamyar Ghasemipour · Qianggang Ding · Shouvik Mani · Vikram Voleti · Rasool Fakoor · Miao Xu · Kenneth Marino · Lisa Lee · Volker Tresp · Jean-Francois Kagy · Marvin Zhang · Barnabas Poczos · Dinesh Khandelwal · Adrien Bardes · Evan Shelhamer · Jiacheng Zhu · Ziming Li · Xiaoyan Li · Dmitrii Krasheninnikov · Ruohan Wang · Mayoore Jaiswal · Emad Barsoum · Suvansh Sanjeev · Theeraphol Wattanavekin · Qizhe Xie · Sifan Wu · Yuki Yoshida · David Kanaa · Sina Khoshfetrat Pakazad · Mehdi Maasoumy
• 2019 Poster: Learning GANs and Ensembles Using Discrepancy »
  Ben Adlam · Corinna Cortes · Mehryar Mohri · Ningshan Zhang
• 2019 Poster: Regularized Gradient Boosting »
  Corinna Cortes · Mehryar Mohri · Dmitry Storcheus
• 2018 Poster: Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses »
  Corinna Cortes · Vitaly Kuznetsov · Mehryar Mohri · Dmitry Storcheus · Scott Yang
• 2016 Poster: Structured Prediction Theory Based on Factor Graph Complexity »
  Corinna Cortes · Vitaly Kuznetsov · Mehryar Mohri · Scott Yang
• 2016 Poster: Boosting with Abstention »
  Corinna Cortes · Giulia DeSalvo · Mehryar Mohri
• 2013 Poster: Learning Kernels Using Local Rademacher Complexity »
  Corinna Cortes · Marius Kloft · Mehryar Mohri
• 2013 Spotlight: Learning Kernels Using Local Rademacher Complexity »
  Corinna Cortes · Marius Kloft · Mehryar Mohri
• 2012 Poster: Accuracy at the Top »
  Stephen Boyd · Corinna Cortes · Mehryar Mohri · Ana Radovanovic
• 2011 Workshop: Domain Adaptation Workshop: Theory and Application »
  John Blitzer · Corinna Cortes · Afshin Rostamizadeh
• 2010 Poster: Learning Bounds for Importance Weighting »
  Corinna Cortes · Yishay Mansour · Mehryar Mohri
• 2009 Poster: Learning Non-Linear Combinations of Kernels »
  Corinna Cortes · Mehryar Mohri · Afshin Rostamizadeh
• 2009 Poster: Polynomial Semantic Indexing »
  Bing Bai · Jason E Weston · David Grangier · Ronan Collobert · Kunihiko Sadamasa · Yanjun Qi · Corinna Cortes · Mehryar Mohri
• 2008 Workshop: Kernel Learning: Automatic Selection of Optimal Kernels »
  Corinna Cortes · Arthur Gretton · Gert Lanckriet · Mehryar Mohri · Afshin Rostamizadeh
• 2007 Workshop: Efficient Machine Learning - Overcoming Computational Bottlenecks in Machine Learning (Part 2) »
  Samy Bengio · Corinna Cortes · Dennis DeCoste · Francois Fleuret · Ramesh Natarajan · Edwin Pednault · Dan Pelleg · Elad Yom-Tov
• 2007 Workshop: Efficient Machine Learning - Overcoming Computational Bottlenecks in Machine Learning (Part 1) »
  Samy Bengio · Corinna Cortes · Dennis DeCoste · Francois Fleuret · Ramesh Natarajan · Edwin Pednault · Dan Pelleg · Elad Yom-Tov
• 2006 Poster: On Transductive Regression »
  Corinna Cortes · Mehryar Mohri