Search Machine Learning Repository:
All publications by Jeff A. Bilmes
authors venues years



Submodular Hamming Metrics
Jennifer A. Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi and Jeff A. Bilmes
Advances in Neural Information Processing Systems 28, 2015


Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai and Jeff A. Bilmes
Advances in Neural Information Processing Systems 28, 2015


Divide-and-Conquer Learning by Anchoring a Conical Hull
Tianyi Zhou, Jeff A. Bilmes and Carlos Guestrin
Advances in Neural Information Processing Systems 27, 2014


Learning Mixtures of Submodular Functions for Image Collection Summarization
Sebastian Tschiatschek, Rishabh K. Iyer, Haochen Wei and Jeff A. Bilmes
Advances in Neural Information Processing Systems 27, 2014


Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
Rishabh K. Iyer, Stefanie Jegelka and Jeff A. Bilmes
Advances in Neural Information Processing Systems 26, 2013


Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh K. Iyer and Jeff A. Bilmes
Advances in Neural Information Processing Systems 26, 2013


Submodular-Bregman and the Lova _sz-Bregman Divergences with Applications
Rishabh Iyer and Jeff A. Bilmes
Advances in Neural Information Processing Systems 25, 2012


Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory and Jeff A. Bilmes
Advances in Neural Information Processing Systems 24, 2011


On fast approximate submodular minimization
Stefanie Jegelka, Hui Lin and Jeff A. Bilmes
Advances in Neural Information Processing Systems 24, 2011


Approximation Bounds for Inference using Cooperative Cuts
Stefanie Jegelka and Jeff A. Bilmes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online Submodular Minimization for Combinatorial Structures
Stefanie Jegelka and Jeff A. Bilmes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Simultaneous Learning and Covering with Adversarial Noise
Andrew Guillory and Jeff A. Bilmes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Interactive Submodular Set Cover
Andrew Guillory and Jeff A. Bilmes
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
Amarnag Subramanya and Jeff A. Bilmes
Advances in Neural Information Processing Systems 22, 2009


Label Selection on Graphs
Andrew Guillory and Jeff A. Bilmes
Advances in Neural Information Processing Systems 22, 2009


Submodularity Cuts and Applications
Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda and Jeff A. Bilmes
Advances in Neural Information Processing Systems 22, 2009


Multi-dynamic Bayesian Networks
Karim Filali and Jeff A. Bilmes
Advances in Neural Information Processing Systems 19, 2006


Discriminative versus generative parameter and structure learning of Bayesian network classifiers
Franz Pernkopf and Jeff A. Bilmes
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Q-Clustering
Mukund Narasimhan, Nebojsa Jojic and Jeff A. Bilmes
Advances in Neural Information Processing Systems 18, 2005


Optimal sub-graphical models
Mukund Narasimhan and Jeff A. Bilmes
Advances in Neural Information Processing Systems 17, 2004


Necessary Intransitive Likelihood-Ratio Classifiers
Gang Ji and Jeff A. Bilmes
Advances in Neural Information Processing Systems 16, 2003