More from the Same Authors

• 2021 : CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example »
  Sheshera Mysore · Tim O'Gorman · Andrew McCallum · Hamed Zamani
• 2022 Poster: Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings »
  Dongxu Zhang · Michael Boratko · Cameron Musco · Andrew McCallum
• 2022 Poster: Structured Energy Network As a Loss »
  Jay Yoon Lee · Dhruvesh Patel · Purujit Goyal · Wenlong Zhao · Zhiyang Xu · Andrew McCallum
• 2021 Poster: Capacity and Bias of Learned Geometric Embeddings for Directed Graphs »
  Michael Boratko · Dongxu Zhang · Nicholas Monath · Luke Vilnis · Kenneth L Clarkson · Andrew McCallum
• 2020 Poster: Improving Local Identifiability in Probabilistic Box Embeddings »
  Shib Dasgupta · Michael Boratko · Dongxu Zhang · Luke Vilnis · Xiang Li · Andrew McCallum
• 2019 : Coffee Break & Poster Session 2 »
  Juho Lee · Yoonho Lee · Yee Whye Teh · Raymond A. Yeh · Yuan-Ting Hu · Alex Schwing · Sara Ahmadian · Alessandro Epasto · Marina Knittel · Ravi Kumar · Mohammad Mahdian · Christian Bueno · Aditya Sanghi · Pradeep Kumar Jayaraman · Ignacio Arroyo-Fernández · Andrew Hryniowski · Vinayak Mathur · Sanjay Singh · Shahrzad Haddadan · Vasco Portilheiro · Luna Zhang · Mert Yuksekgonul · Jhosimar Arias Figueroa · Deepak Maurya · Balaraman Ravindran · Frank NIELSEN · Philip Pham · Justin Payan · Andrew McCallum · Jinesh Mehta · Ke SUN
• 2019 : Opening Remarks »
  Manzil Zaheer · Nicholas Monath · Ari Kobren · Junier Oliva · Barnabas Poczos · Ruslan Salakhutdinov · Andrew McCallum
• 2019 Workshop: Sets and Partitions »
  Nicholas Monath · Manzil Zaheer · Andrew McCallum · Ari Kobren · Junier Oliva · Barnabas Poczos · Ruslan Salakhutdinov
• 2019 : Andrew McCallum: Learning DAGs and Trees with Box Embeddings and Hyperbolic Embeddings »
  Andrew McCallum
• 2019 Poster: Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks »
  Amirmohammad Rooshenas · Dongxu Zhang · Gopal Sharma · Andrew McCallum
• 2018 Poster: Compact Representation of Uncertainty in Clustering »
  Craig Greenberg · Nicholas Monath · Ari Kobren · Patrick Flaherty · Andrew McGregor · Andrew McCallum
• 2017 Poster: Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples »
  Haw-Shiuan Chang · Erik Learned-Miller · Andrew McCallum
• 2014 Workshop: 4th Workshop on Automated Knowledge Base Construction (AKBC) »
  Sameer Singh · Fabian M Suchanek · Sebastian Riedel · Partha Pratim Talukdar · Kevin Murphy · Christopher Ré · William Cohen · Tom Mitchell · Andrew McCallum · Jason E Weston · Ramanathan Guha · Boyan Onyshkevych · Hoifung Poon · Oren Etzioni · Ari Kobren · Arvind Neelakantan · Peter Clark
• 2012 Poster: MAP Inference in Chains using Column Generation »
  David Belanger · Alexandre T Passos · Sebastian Riedel · Andrew McCallum
• 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: Query-Aware MCMC »
  Michael Wick · Andrew McCallum
• 2009 Poster: FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs »
  Andrew McCallum · Karl Schultz · Sameer Singh
• 2009 Poster: Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference »
  Michael Wick · Khashayar Rohanimanesh · Sameer Singh · Andrew McCallum
• 2009 Spotlight: Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference »
  Michael Wick · Khashayar Rohanimanesh · Sameer Singh · Andrew McCallum
• 2009 Poster: Rethinking LDA: Why Priors Matter »
  Hanna Wallach · David Mimno · Andrew McCallum
• 2009 Spotlight: Rethinking LDA: Why Priors Matter »
  Hanna Wallach · David Mimno · Andrew McCallum