Related Events (a corresponding poster, oral, or spotlight)

• 2007 Spotlight: McRank: Learning to Rank Using Multiple Classification and Gradient Boosting »
  Tue. Dec 4th 11:20 -- 11:30 PM Room

More from the Same Authors

• 2017 Poster: Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery »
  Jie Shen · Ping Li
• 2017 Poster: Simple strategies for recovering inner products from coarsely quantized random projections »
  Ping Li · Martin Slawski
• 2016 Poster: Exact Recovery of Hard Thresholding Pursuit »
  Xiaotong Yuan · Ping Li · Tong Zhang
• 2016 Poster: Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation »
  Xiaotong Yuan · Ping Li · Tong Zhang · Qingshan Liu · Guangcan Liu
• 2016 Poster: Quantized Random Projections and Non-Linear Estimation of Cosine Similarity »
  Ping Li · Michael Mitzenmacher · Martin Slawski
• 2015 Poster: b-bit Marginal Regression »
  Martin Slawski · Ping Li
• 2015 Spotlight: b-bit Marginal Regression »
  Martin Slawski · Ping Li
• 2015 Poster: Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices »
  Martin Slawski · Ping Li · Matthias Hein
• 2014 Workshop: Learning Semantics »
  Cedric Archambeau · Antoine Bordes · Leon Bottou · Chris J Burges · David Grangier
• 2014 Poster: Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) »
  Anshumali Shrivastava · Ping Li
• 2014 Poster: Recovery of Coherent Data via Low-Rank Dictionary Pursuit »
  Guangcan Liu · Ping Li
• 2014 Poster: Online Optimization for Max-Norm Regularization »
  Jie Shen · Huan Xu · Ping Li
• 2014 Spotlight: Recovery of Coherent Data via Low-Rank Dictionary Pursuit »
  Guangcan Liu · Ping Li
• 2014 Oral: Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) »
  Anshumali Shrivastava · Ping Li
• 2013 Poster: Beyond Pairwise: Provably Fast Algorithms for Approximate $k$-Way Similarity Search »
  Anshumali Shrivastava · Ping Li
• 2013 Poster: Sign Cauchy Projections and Chi-Square Kernel »
  Ping Li · Gennady Samorodnitsk · John Hopcroft
• 2013 Session: Oral Session 7 »
  Chris J Burges
• 2012 Poster: Entropy Estimations Using Correlated Symmetric Stable Random Projections »
  Ping Li · Cun-Hui Zhang
• 2012 Poster: One Permutation Hashing »
  Ping Li · Art B Owen · Cun-Hui Zhang
• 2011 Poster: Hashing Algorithms for Large-Scale Learning »
  Ping Li · Anshumali Shrivastava · Joshua L Moore · Arnd C König
• 2010 Spotlight: b-Bit Minwise Hashing for Estimating Three-Way Similarities »
  Ping Li · Arnd C König · Wenhao Gui
• 2010 Poster: b-Bit Minwise Hashing for Estimating Three-Way Similarities »
  Ping Li · Arnd C König · Wenhao Gui
• 2009 Workshop: Advances in Ranking »
  Shivani Agarwal · Chris J Burges · Yacov Crammer
• 2008 Poster: Localized Sliced Inverse Regression »
  Qiang Wu · Sayan Mukherjee · Feng Liang
• 2008 Spotlight: Localized Sliced Inverse Regression »
  Qiang Wu · Sayan Mukherjee · Feng Liang
• 2008 Poster: One sketch for all: Theory and Application of Conditional Random Sampling »
  Ping Li · Kenneth W Church · Trevor Hastie
• 2008 Spotlight: One sketch for all: Theory and Application of Conditional Random Sampling »
  Ping Li · Kenneth W Church · Trevor Hastie
• 2007 Poster: A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Sta »
  Ping Li · Trevor Hastie
• 2006 Poster: Learning to Rank with Nonsmooth Cost Functions »
  Chris J Burges · Quoc Le · Robert J Ragno
• 2006 Poster: Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data »
  Ping Li · Kenneth W Church · Trevor Hastie