Rishabh Iyer
Rishabh Iyer
Assistant Professor, University of Texas Dallas
Verifierad e-postadress på utdallas.edu - Startsida
TitelCiteras avÅr
Submodular optimization with submodular cover and submodular knapsack constraints
RK Iyer, JA Bilmes
Advances in Neural Information Processing Systems (NIPS), 2436-2444, 2013
1592013
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
1232014
Submodularity in data subset selection and active learning
K Wei, R Iyer, J Bilmes
International Conference on Machine Learning, 1954-1963, 2015
1142015
Fast semidifferential-based submodular function optimization
R Iyer, S Jegelka, J Bilmes
International Conference on Machine Learning (ICML), 2013
98*2013
Algorithms for approximate minimization of the difference between submodular functions, with applications
R Iyer, J Bilmes
Uncertainty in Artificial Intelligence (UAI), 2012
982012
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
772013
Fast multi-stage submodular maximization
K Wei, R Iyer, J Bilmes
International Conference on Machine Learning (ICML-14), 1494-1502, 2014
64*2014
Submodular-Bregman and the Lovász-Bregman divergences with applications
R Iyer, JA Bilmes
Advances in Neural Information Processing Systems, 2933-2941, 2012
382012
Submodular-Bregman and the Lovasz-Bregman Divergences with Applications
R Iyer, J Bilmes
Advances in Neural Information Processing Systems (NIPS), 2942-2950, 2012
382012
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
232014
The Lovász-Bregman Divergence and connections to rank aggregation, clustering, and web ranking
R Iyer, JA Bilmes
Uncertainty in Artificial Intelligence, 2014
202014
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
162015
Algorithms for optimizing the ratio of submodular functions
W Bai, R Iyer, K Wei, J Bilmes
International Conference on Machine Learning, 2751-2759, 2016
142016
Polyhedral aspects of submodularity, convexity and concavity
R Iyer, J Bilmes
arXiv preprint arXiv:1506.07329, 2015
132015
Submodular hamming metrics
JA Gillenwater, RK Iyer, B Lusch, R Kidambi, JA Bilmes
Advances in Neural Information Processing Systems, 3141-3149, 2015
132015
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
102015
Mirror descent like algorithms for submodular optimization
R Iyer, S Jegelka, J Bilmes
NIPS Workshop on Discrete Optimization in Machine Learning (DISCML), 2012
102012
Submodular Optimization and Machine Learning: Theoretical Results, Unifying and Scalable Algorithms, and Applications
R Iyer
Ph.D Dissertation, 2015
82015
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
62015
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Artiklar 1–20