More from the Same Authors

• 2018 Poster: Learning to Optimize Tensor Programs »
  Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy
• 2018 Spotlight: Learning to Optimize Tensor Programs »
  Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy
• 2018 Poster: Training Deep Models Faster with Robust, Approximate Importance Sampling »
  Tyler Johnson · Carlos Guestrin
• 2016 Poster: Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization »
  Tyler Johnson · Carlos Guestrin
• 2014 Poster: Divide-and-Conquer Learning by Anchoring a Conical Hull »
  Tianyi Zhou · Jeffrey A Bilmes · Carlos Guestrin
• 2012 Demonstration: GraphLab: A Framework For Machine Learning in the Cloud »
  Yucheng Low · Haijie Gu · Carlos Guestrin
• 2011 Workshop: Big Learning: Algorithms, Systems, and Tools for Learning at Scale »
  Joseph E Gonzalez · Sameer Singh · Graham Taylor · James Bergstra · Alice Zheng · Misha Bilenko · Yucheng Low · Yoshua Bengio · Michael Franklin · Carlos Guestrin · Andrew McCallum · Alexander Smola · Michael Jordan · Sugato Basu
• 2011 Poster: Linear Submodular Bandits and their Application to Diversified Retrieval »
  Yisong Yue · Carlos Guestrin
• 2010 Poster: Evidence-Specific Structures for Rich Tractable CRFs »
  Anton Chechetka · Carlos Guestrin
• 2010 Poster: Inference with Multivariate Heavy-Tails in Linear Models »
  Danny Bickson · Carlos Guestrin
• 2009 Workshop: Learning with Orderings »
  Tiberio Caetano · Carlos Guestrin · Jonathan Huang · Risi Kondor · Guy Lebanon · Marina Meila
• 2009 Workshop: Large-Scale Machine Learning: Parallelism and Massive Datasets »
  Alexander Gray · Arthur Gretton · Alexander Smola · Joseph E Gonzalez · Carlos Guestrin
• 2009 Poster: Riffled Independence for Ranked Data »
  Jonathan Huang · Carlos Guestrin
• 2009 Spotlight: Riffled Independence for Ranked Data »
  Jonathan Huang · Carlos Guestrin
• 2007 Oral: Efficient Inference forDistributions on Permutations »
  Jonathan Huang · Carlos Guestrin · Leonidas Guibas
• 2007 Poster: Efficient Inference forDistributions on Permutations »
  Jonathan Huang · Carlos Guestrin · Leonidas Guibas
• 2007 Spotlight: Selecting Observations against Adversarial Objectives »
  Andreas Krause · H. Brendan McMahan · Carlos Guestrin · Anupam Gupta
• 2007 Poster: Selecting Observations against Adversarial Objectives »
  Andreas Krause · H. Brendan McMahan · Carlos Guestrin · Anupam Gupta
• 2007 Poster: Efficient Principled Learning of Thin Junction Trees »
  Anton Chechetka · Carlos Guestrin
• 2006 Poster: Distributed Inference in Dynamical Systems »
  Stanislav Funiak · Carlos Guestrin · Mark A Paskin · Rahul Sukthankar