More from the Same Authors

• 2022 Poster: Knowledge Distillation: Bad Models Can Be Good Role Models »
  Gal Kaplun · Eran Malach · Preetum Nakkiran · Shai Shalev-Shwartz
• 2021 : Q&A with Shai Shalev-Shwartz »
  Shai Shalev-Shwartz
• 2021 : Deep Learning: Success, Failure, and the Border between them, Shai Shalev-Shwartz »
  Shai Shalev-Shwartz
• 2020 Poster: The Implications of Local Correlation on Learning Some Deep Functions »
  Eran Malach · Shai Shalev-Shwartz
• 2019 Poster: Is Deeper Better only when Shallow is Good? »
  Eran Malach · Shai Shalev-Shwartz
• 2017 Poster: Decoupling "when to update" from "how to update" »
  Eran Malach · Shai Shalev-Shwartz
• 2016 Poster: Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity »
  Amit Daniely · Roy Frostig · Yoram Singer
• 2016 Poster: Learning a Metric Embedding for Face Recognition using the Multibatch Method »
  Oren Tadmor · Tal Rosenwein · Shai Shalev-Shwartz · Yonatan Wexler · Amnon Shashua
• 2015 Poster: Beyond Convexity: Stochastic Quasi-Convex Optimization »
  Elad Hazan · Kfir Y. Levy · Shai Shalev-Shwartz
• 2014 Poster: On the Computational Efficiency of Training Neural Networks »
  Roi Livni · Shai Shalev-Shwartz · Ohad Shamir
• 2013 Poster: More data speeds up training time in learning halfspaces over sparse vectors »
  Amit Daniely · Nati Linial · Shai Shalev-Shwartz
• 2013 Spotlight: More data speeds up training time in learning halfspaces over sparse vectors »
  Amit Daniely · Nati Linial · Shai Shalev-Shwartz
• 2013 Poster: Accelerated Mini-Batch Stochastic Dual Coordinate Ascent »
  Shai Shalev-Shwartz · Tong Zhang
• 2012 Poster: Multiclass Learning Approaches: A Theoretical Comparison with Implications »
  Amit Daniely · Sivan Sabato · Shai Shalev-Shwartz
• 2012 Spotlight: Multiclass Learning Approaches: A Theoretical Comparison with Implications »
  Amit Daniely · Sivan Sabato · Shai Shalev-Shwartz
• 2012 Poster: Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs »
  Aharon Birnbaum · Shai Shalev-Shwartz
• 2011 Poster: ShareBoost: Efficient multiclass learning with feature sharing »
  Shai Shalev-Shwartz · Yonatan Wexler · Amnon Shashua
• 2011 Session: Spotlight Session 4 »
  Shai Shalev-Shwartz
• 2011 Session: Oral Session 4 »
  Shai Shalev-Shwartz
• 2010 Talk: Learning Structural Sparsity »
  Yoram Singer
• 2009 Poster: Efficient Learning using Forward-Backward Splitting »
  John Duchi · Yoram Singer
• 2009 Oral: Efficient Learning using Forward-Backward Splitting »
  John Duchi · Yoram Singer
• 2009 Poster: Group Sparse Coding »
  Samy Bengio · Fernando Pereira · Yoram Singer · Dennis Strelow
• 2008 Poster: Fast Rates for Regularized Objectives »
  Karthik Sridharan · Shai Shalev-Shwartz · Nati Srebro
• 2008 Poster: Mind the Duality Gap: Logarithmic regret algorithms for online optimization »
  Shai Shalev-Shwartz · Sham M Kakade
• 2008 Spotlight: Mind the Duality Gap: Logarithmic regret algorithms for online optimization »
  Shai Shalev-Shwartz · Sham M Kakade
• 2006 Poster: Convex Repeated Games and Fenchel Duality »
  Shai Shalev-Shwartz · Yoram Singer
• 2006 Poster: Support Vector Machines on a Budget »
  Ofer Dekel · Yoram Singer
• 2006 Spotlight: Convex Repeated Games and Fenchel Duality »
  Shai Shalev-Shwartz · Yoram Singer
• 2006 Spotlight: Support Vector Machines on a Budget »
  Ofer Dekel · Yoram Singer
• 2006 Poster: Image Retrieval and Classification Using Local Distance Functions »
  Andrea Frome · Yoram Singer · Jitendra Malik