More from the Same Authors

• 2020 Session: Orals & Spotlights Track 27: Unsupervised/Probabilistic »
  Marina Meila · Kun Zhang
• 2018 Poster: How to tell when a clustering is (approximately) correct using convex relaxations »
  Marina Meila
• 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
• 2017 Workshop: Synergies in Geometric Data Analysis (TWO DAYS) »
  Marina Meila · Frederic Chazal · Yu-Chia Chen
• 2017 Poster: Multiresolution Kernel Approximation for Gaussian Process Regression »
  Yi Ding · Risi Kondor · Jonathan Eskreis-Winkler
• 2017 Spotlight: Multiresolution Kernel Approximation for Gaussian Process Regression »
  Yi Ding · Risi Kondor · Jonathan Eskreis-Winkler
• 2017 Poster: Improved Graph Laplacian via Geometric Self-Consistency »
  Dominique Perrault-Joncas · Marina Meila · James McQueen
• 2016 Poster: The Multiscale Laplacian Graph Kernel »
  Risi Kondor · Horace Pan
• 2016 Oral: The Multiscale Laplacian Graph Kernel »
  Risi Kondor · Horace Pan
• 2016 Poster: Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization »
  Tyler Johnson · Carlos Guestrin
• 2016 Poster: Nearly Isometric Embedding by Relaxation »
  James McQueen · Marina Meila · Dominique Perrault-Joncas
• 2016 Poster: Graph Clustering: Block-models and model free results »
  Yali Wan · Marina Meila
• 2015 Workshop: Multiresolution methods for large-scale learning »
  Inderjit Dhillon · Risi Kondor · Rob Nowak · Michael O'Neil · Nedelina Teneva
• 2015 Demonstration: The pMMF multiresolution matrix factorization library »
  Risi Kondor · Pramod Kaushik Mudrakarta · Nedelina Teneva
• 2015 Poster: Deep Knowledge Tracing »
  Chris Piech · Jonathan Bassen · Jonathan Huang · Surya Ganguli · Mehran Sahami · Leonidas Guibas · Jascha Sohl-Dickstein
• 2015 Poster: A class of network models recoverable by spectral clustering »
  Yali Wan · Marina Meila
• 2014 Poster: Divide-and-Conquer Learning by Anchoring a Conical Hull »
  Tianyi Zhou · Jeffrey A Bilmes · Carlos Guestrin
• 2014 Poster: Recursive Inversion Models for Permutations »
  Christopher Meek · Marina Meila
• 2014 Poster: (Almost) No Label No Cry »
  Giorgio Patrini · Richard Nock · Tiberio Caetano · Paul Rivera
• 2014 Poster: Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision »
  Deepti Pachauri · Risi Kondor · Gautam Sargur · Vikas Singh
• 2014 Spotlight: (Almost) No Label No Cry »
  Giorgio Patrini · Richard Nock · Tiberio Caetano · Paul Rivera
• 2013 Workshop: Data Driven Education »
  Jonathan Huang · Sumit Basu · Kalyan Veeramachaneni
• 2013 Demonstration: Codewebs: a Pedagogical Search Engine for Code Submissions to a MOOC »
  Jonathan Huang · Chris Piech · Andy Nguyen · Leonidas Guibas
• 2013 Poster: Solving the multi-way matching problem by permutation synchronization »
  Deepti Pachauri · Risi Kondor · Vikas Singh
• 2012 Poster: Automatic Feature Induction for Stagewise Collaborative Filtering »
  Joonseok Lee · Mingxuan Sun · Seungyeon Kim · Guy Lebanon
• 2012 Poster: Learning as MAP Inference in Discrete Graphical Models »
  Tiberio Caetano · Xianghang Liu · James Petterson
• 2012 Poster: A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation »
  Aaron Defazio · Tiberio Caetano
• 2012 Poster: Probabilistic Event Cascades for Alzheimer's disease »
  Jonathan Huang · Daniel C Alexander
• 2012 Demonstration: GraphLab: A Framework For Machine Learning in the Cloud »
  Yucheng Low · Haijie Gu · Carlos Guestrin
• 2012 Session: Oral Session 8 »
  Tiberio Caetano
• 2012 Spotlight: A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation »
  Aaron Defazio · Tiberio Caetano
• 2012 Poster: Multiresolution analysis on the symmetric group »
  Risi Kondor · Walter H Dempsey
• 2011 Workshop: Philosophy and Machine Learning »
  Marcello Pelillo · Joachim M Buhmann · Tiberio Caetano · Bernhard Schölkopf · Larry Wasserman
• 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: Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators »
  Dominique C Perrault-Joncas · Marina Meila
• 2011 Spotlight: Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators »
  Dominique C Perrault-Joncas · Marina Meila
• 2011 Poster: Linear Submodular Bandits and their Application to Diversified Retrieval »
  Yisong Yue · Carlos Guestrin
• 2011 Poster: Submodular Multi-Label Learning »
  James Petterson · Tiberio Caetano
• 2010 Poster: Word Features for Latent Dirichlet Allocation »
  James Petterson · Alexander Smola · Tiberio Caetano · Wray L Buntine · Shravan M Narayanamurthy
• 2010 Poster: Evidence-Specific Structures for Rich Tractable CRFs »
  Anton Chechetka · Carlos Guestrin
• 2010 Poster: Reverse Multi-Label Learning »
  James Petterson · Tiberio Caetano
• 2010 Poster: Inference with Multivariate Heavy-Tails in Linear Models »
  Danny Bickson · Carlos Guestrin
• 2010 Poster: Multitask Learning without Label Correspondences »
  Novi Quadrianto · Alexander Smola · Tiberio Caetano · S.V.N. Vishwanathan · James Petterson
• 2009 Workshop: Large-Scale Machine Learning: Parallelism and Massive Datasets »
  Alexander Gray · Arthur Gretton · Alexander Smola · Joseph E Gonzalez · Carlos Guestrin
• 2009 Workshop: Statistical Machine Learning for Visual Analytics »
  Guy Lebanon · Fei Sha
• 2009 Poster: Convex Relaxation of Mixture Regression with Efficient Algorithms »
  Novi Quadrianto · Tiberio Caetano · John Lim · Dale Schuurmans
• 2009 Poster: Exponential Family Graph Matching and Ranking »
  James Petterson · Tiberio Caetano · Julian J McAuley · Jin Yu
• 2009 Poster: Riffled Independence for Ranked Data »
  Jonathan Huang · Carlos Guestrin
• 2009 Spotlight: Riffled Independence for Ranked Data »
  Jonathan Huang · Carlos Guestrin
• 2008 Workshop: Algebraic and combinatorial methods in machine learning »
  Risi Kondor · Guy Lebanon · Jason Morton
• 2008 Mini Symposium: Algebraic methods in machine learning »
  Risi Kondor · Guy Lebanon · Jason Morton
• 2008 Poster: Robust Near-Isometric Matching via Structured Learning of Graphical Models »
  Julian J McAuley · Tiberio Caetano · Alexander Smola
• 2007 Oral: Efficient Inference forDistributions on Permutations »
  Jonathan Huang · Carlos Guestrin · Leonidas Guibas
• 2007 Oral: Non-parametric Modeling of Partially Ranked Data »
  Guy Lebanon · Yi Mao
• 2007 Poster: Non-parametric Modeling of Partially Ranked Data »
  Guy Lebanon · Yi Mao
• 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: Isotonic Conditional Random Fields and Local Sentiment Flow »
  Yi Mao · Guy Lebanon
• 2006 Poster: Gaussian and Wishart Hyperkernels »
  Risi Kondor · Tony Jebara
• 2006 Poster: Distributed Inference in Dynamical Systems »
  Stanislav Funiak · Carlos Guestrin · Mark A Paskin · Rahul Sukthankar