Rishabh Iyer
Title
Cited by
Cited by
Year
Submodularity in data subset selection and active learning
K Wei, R Iyer, J Bilmes
International Conference on Machine Learning, 1954-1963, 2015
2252015
Submodular optimization with submodular cover and submodular knapsack constraints
RK Iyer, JA Bilmes
Advances in Neural Information Processing Systems (NIPS), 2436-2444, 2013
2112013
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
1772014
Algorithms for approximate minimization of the difference between submodular functions, with applications
R Iyer, J Bilmes
Uncertainty in Artificial Intelligence (UAI), 2012
1362012
Fast semidifferential-based submodular function optimization
R Iyer, S Jegelka, J Bilmes
International Conference on Machine Learning (ICML), 2013
1262013
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
982013
Fast multi-stage submodular maximization
K Wei, R Iyer, J Bilmes
International Conference on Machine Learning (ICML-14), 1494-1502, 2014
782014
The submodular Bregman and Lovász-Bregman divergences with applications: Extended version
R Iyer, J Bilmes
NIPS, 2012
432012
Submodular-Bregman and the Lovasz-Bregman Divergences with Applications
R Iyer, J Bilmes
Advances in Neural Information Processing Systems (NIPS), 2942-2950, 2012
43*2012
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 28, 2233-2241, 2015
312015
Submodular Point Processes
R Iyer, J Bilmes
Proc. Artificial Intelligence and Statistics (AISTATS), 2015
30*2015
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
282015
Monotone closure of relaxed constraints in submodular optimization: Connections between minimization and maximization: Extended version
R Iyer, S Jegelka, J Bilmes
UAI, 2014
282014
Polyhedral aspects of submodularity, convexity and concavity
R Iyer, J Bilmes
arXiv preprint arXiv:1506.07329, 2015
272015
Algorithms for optimizing the ratio of submodular functions
W Bai, R Iyer, K Wei, J Bilmes
International Conference on Machine Learning, 2751-2759, 2016
262016
The Lovász-Bregman Divergence and connections to rank aggregation, clustering, and web ranking
R Iyer, JA Bilmes
Uncertainty in Artificial Intelligence, 2014
232014
Submodular Optimization and Machine Learning: Theoretical Results, Unifying and Scalable Algorithms, and Applications
R Iyer
Ph.D Dissertation, 2015
202015
Submodular hamming metrics
J Gillenwater, R Iyer, B Lusch, R Kidambi, J Bilmes
arXiv preprint arXiv:1511.02163, 2015
162015
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
162015
Glister: Generalization based data subset selection for efficient and robust learning
K Killamsetty, D Sivasubramanian, G Ramakrishnan, R Iyer
arXiv preprint arXiv:2012.10630, 2020
152020
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Articles 1–20