More from the Same Authors

• 2022 Poster: Finite Sample Analysis Of Dynamic Regression Parameter Learning »
  Mark Kozdoba · Edward Moroshko · Shie Mannor · Yacov Crammer
• 2020 Poster: Faithful Embeddings for Knowledge Base Queries »
  Haitian Sun · Andrew Arnold · Tania Bedrax Weiss · Fernando Pereira · William Cohen
• 2018 Poster: Efficient Loss-Based Decoding on Graphs for Extreme Classification »
  Itay Evron · Edward Moroshko · Yacov Crammer
• 2017 Poster: Rotting Bandits »
  Nir Levine · Yacov Crammer · Shie Mannor
• 2016 Poster: Clustering with Same-Cluster Queries »
  Hassan Ashtiani · Shrinu Kushagra · Shai Ben-David
• 2016 Oral: Clustering with Same-Cluster Queries »
  Hassan Ashtiani · Shrinu Kushagra · Shai Ben-David
• 2015 : Domain Adaptation for Binary Classification »
  Shai Ben-David
• 2015 : Discussion Panel »
  Tim van Erven · Wouter Koolen · Peter Grünwald · Shai Ben-David · Dylan Foster · Satyen Kale · Gergely Neu
• 2015 : Clustering Is Easy When... »
  Shai Ben-David
• 2015 Poster: Linear Multi-Resource Allocation with Semi-Bandit Feedback »
  Tor Lattimore · Yacov Crammer · Csaba Szepesvari
• 2014 Poster: Learning Multiple Tasks in Parallel with a Shared Annotator »
  Haim Cohen · Yacov Crammer
• 2013 Workshop: Resource-Efficient Machine Learning »
  Yevgeny Seldin · Yasin Abbasi Yadkori · Yacov Crammer · Ralf Herbrich · Peter Bartlett
• 2013 Workshop: New Directions in Transfer and Multi-Task: Learning Across Domains and Tasks »
  Urun Dogan · Marius Kloft · Tatiana Tommasi · Francesco Orabona · Massimiliano Pontil · Sinno Jialin Pan · Shai Ben-David · Arthur Gretton · Fei Sha · Marco Signoretto · Rajhans Samdani · Yun-Qian Miao · Mohammad Gheshlaghi azar · Ruth Urner · Christoph Lampert · Jonathan How
• 2012 Workshop: Multi-Trade-offs in Machine Learning »
  Yevgeny Seldin · Guy Lever · John Shawe-Taylor · Nicolò Cesa-Bianchi · Yacov Crammer · Francois Laviolette · Gabor Lugosi · Peter Bartlett
• 2012 Poster: Volume Regularization for Binary Classification »
  Yacov Crammer · Tal Wagner
• 2012 Spotlight: Volume Regularization for Binary Classification »
  Yacov Crammer · Tal Wagner
• 2012 Poster: Learning Multiple Tasks using Shared Hypotheses »
  Yacov Crammer · Yishay Mansour
• 2011 Workshop: New Frontiers in Model Order Selection »
  Yevgeny Seldin · Yacov Crammer · Nicolò Cesa-Bianchi · Francois Laviolette · John Shawe-Taylor
• 2011 Session: Opening Remarks and Awards »
  Terrence Sejnowski · Peter Bartlett · Fernando Pereira
• 2010 Poster: Learning via Gaussian Herding »
  Yacov Crammer · Daniel Lee
• 2010 Poster: New Adaptive Algorithms for Online Classification »
  Francesco Orabona · Yacov Crammer
• 2010 Poster: Towards Property-Based Classification of Clustering Paradigms »
  Margareta Ackerman · Shai Ben-David · David R Loker
• 2009 Workshop: Advances in Ranking »
  Shivani Agarwal · Chris J Burges · Yacov Crammer
• 2009 Workshop: Clustering: Science or art? Towards principled approaches »
  Margareta Ackerman · Shai Ben-David · Avrim Blum · Isabelle Guyon · Ulrike von Luxburg · Robert Williamson · Reza Zadeh
• 2009 Poster: Adaptive Regularization of Weight Vectors »
  Yacov Crammer · Alex Kulesza · Mark Dredze
• 2009 Poster: Posterior vs Parameter Sparsity in Latent Variable Models »
  Joao V Graca · Kuzman Ganchev · Ben Taskar · Fernando Pereira
• 2009 Spotlight: Posterior vs Parameter Sparsity in Latent Variable Models »
  Joao V Graca · Kuzman Ganchev · Ben Taskar · Fernando Pereira
• 2009 Spotlight: Adaptive Regularization of Weight Vectors »
  Yacov Crammer · Alex Kulesza · Mark Dredze
• 2009 Poster: Group Sparse Coding »
  Samy Bengio · Fernando Pereira · Yoram Singer · Dennis Strelow
• 2008 Workshop: New Challanges in Theoretical Machine Learning: Data Dependent Concept Spaces »
  Maria-Florina F Balcan · Shai Ben-David · Avrim Blum · Kristiaan Pelckmans · John Shawe-Taylor
• 2008 Session: Oral session 6: Neural Coding »
  Yacov Crammer
• 2008 Poster: Exact Convex Confidence-Weighted Learning »
  Yacov Crammer · Mark Dredze · Fernando Pereira
• 2008 Spotlight: Exact Convex Confidence-Weighted Learning »
  Yacov Crammer · Mark Dredze · Fernando Pereira
• 2008 Poster: Measures of Clustering Quality: A Working Set of Axioms for Clustering »
  Shai Ben-David · Margareta Ackerman
• 2008 Poster: Regularized Learning with Networks of Features »
  Ted Sandler · John Blitzer · Partha P Talukdar · Lyle Ungar
• 2008 Oral: Measures of Clustering Quality: A Working Set of Axioms for Clustering »
  Shai Ben-David · Margareta Ackerman
• 2007 Spotlight: Structured Learning with Approximate Inference »
  Alex Kulesza · Fernando Pereira
• 2007 Poster: Structured Learning with Approximate Inference »
  Alex Kulesza · Fernando Pereira
• 2007 Poster: Learning Bounds for Domain Adaptation »
  John Blitzer · Yacov Crammer · Alex Kulesza · Fernando Pereira · Jennifer Wortman Vaughan
• 2006 Workshop: Novel Applications of Dimensionality Reduction »
  John Blitzer · Rajarshi Das · Irina Rish · Kilian Q Weinberger
• 2006 Poster: Learning from Multiple Sources »
  Yacov Crammer · Michael Kearns · Jennifer Wortman Vaughan