Rishabh Iyer
Rishabh Iyer
Assistant Professor, University of Texas Dallas
Verified email at utdallas.edu - Homepage
Title
Cited by
Cited by
Year
Submodular optimization with submodular cover and submodular knapsack constraints
RK Iyer, JA Bilmes
Advances in Neural Information Processing Systems (NIPS), 2436-2444, 2013
1752013
Submodularity in data subset selection and active learning
K Wei, R Iyer, J Bilmes
International Conference on Machine Learning, 1954-1963, 2015
1402015
Learning mixtures of submodular functions for image collection summarization
S Tschiatschek, RK Iyer, H Wei, JA Bilmes
Advances in Neural Information Processing Systems (NIPS), 1413-1421, 2014
1402014
Fast semidifferential-based submodular function optimization
R Iyer, S Jegelka, J Bilmes
International Conference on Machine Learning (ICML), 2013
109*2013
Algorithms for approximate minimization of the difference between submodular functions, with applications
R Iyer, J Bilmes
Uncertainty in Artificial Intelligence (UAI), 2012
1092012
Curvature and optimal algorithms for learning and minimizing submodular functions
RK Iyer, S Jegelka, JA Bilmes
Advances in Neural Information Processing Systems (NIPS), 2742-2750, 2013
872013
Fast multi-stage submodular maximization
K Wei, R Iyer, J Bilmes
International Conference on Machine Learning (ICML-14), 1494-1502, 2014
692014
Submodular-Bregman and the Lovász-Bregman divergences with applications
R Iyer, JA Bilmes
Advances in Neural Information Processing Systems, 2933-2941, 2012
402012
Submodular-Bregman and the Lovasz-Bregman Divergences with Applications
R Iyer, J Bilmes
Advances in Neural Information Processing Systems (NIPS), 2942-2950, 2012
402012
Submodular Point Processes
R Iyer, J Bilmes
Proc. Artificial Intelligence and Statistics (AISTATS), 2015
25*2015
Monotone closure of relaxed constraints in submodular optimization: Connections between minimization and maximization: Extended version
R Iyer, S Jegelka, J Bilmes
UAI, 2014
242014
Mixed robust/average submodular partitioning: Fast algorithms, guarantees, and applications
K Wei, RK Iyer, S Wang, W Bai, JA Bilmes
Advances in Neural Information Processing Systems, 2233-2241, 2015
212015
The Lovász-Bregman Divergence and connections to rank aggregation, clustering, and web ranking
R Iyer, JA Bilmes
Uncertainty in Artificial Intelligence, 2014
202014
Algorithms for optimizing the ratio of submodular functions
W Bai, R Iyer, K Wei, J Bilmes
International Conference on Machine Learning, 2751-2759, 2016
182016
Polyhedral aspects of submodularity, convexity and concavity
R Iyer, J Bilmes
arXiv preprint arXiv:1506.07329, 2015
182015
Submodular hamming metrics
JA Gillenwater, RK Iyer, B Lusch, R Kidambi, JA Bilmes
Advances in Neural Information Processing Systems, 3141-3149, 2015
152015
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures
RB Bairi, R Iyer, G Ramakrishnan, J Bilmes
In Association of Computational Linguists (ACL) 2015, 2015
152015
Mirror descent like algorithms for submodular optimization
R Iyer, S Jegelka, J Bilmes
NIPS Workshop on Discrete Optimization in Machine Learning (DISCML), 2012
122012
Submodular Optimization and Machine Learning: Theoretical Results, Unifying and Scalable Algorithms, and Applications
R Iyer
Ph.D Dissertation, 2015
92015
SVitchboard II and FiSVer I: High-Quality Limited-Complexity Corpora of Conversational English Speech
Y Liu, R Iyer, K Kirchhoff, J Bilmes
INTERSPEECH-2015, 2015
92015
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