---
title: "NeurIPS 2009 — accepted papers — Elamur Research"
description: "NeurIPS 2009 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2009/"
---
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[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / 2009

# NeurIPS 2009 — accepted papers

NeurIPS 2009 is the 2009 edition of the Conference on Neural Information Processing Systems (NeurIPS). OpenAlex lists 57 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**57** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2009/#works) · [**2,045** citations of these works](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2009/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Advances in Neural Information Processing Systems 21 ↗](https://www.research.ed.ac.uk/portal/en/publications/a-rational-model-of-preference-learning-and-choice-prediction-by-children(0237533d-3df7-4056-9369-b02c1963fef9)/export.html)**Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams et al.*1,853 citations*
2. **[Unsupervised feature learning for audio classification using convolutional deep belief networks ↗](http://ai.stanford.edu/~hllee//nips09-AudioConvolutionalDBN.pdf)**Honglak Lee, Peter T. Pham, Yan Largman et al.*918 citations*
3. **[Replicated Softmax: an Undirected Topic Model ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0817.pdf)**Geoffrey E. Hinton, Ruslan Salakhutdinov*415 citations*
4. **[Multi-Label Prediction via Compressed Sensing ↗](http://ece.duke.edu/~lcarin/MultLabelCS.pdf)**John C. Langford, Tong Zhang, Daniel Hsu et al.*258 citations*
5. **[Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models ↗](https://www.cs.nyu.edu/~mohri/pub/maxent.pdf)**Ryan McDonald, Mehryar Mohri, Nathan Silberman et al.*224 citations*
6. **[Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation ↗](http://castlelab.princeton.edu/ORF569papers/Maei%20-%20convergent%20temporal-difference%20learning%20with%20arbitrary%20smooth%20function%20approximation.pdf)**Shalabh Bhatnagar, Doina Precup, David Silver et al.*155 citations*
7. **[Slow Learners are Fast ↗](http://alex.smola.org/papers/2009/LanSmoZin09.pdf)**Martin Zinkevich, John C. Langford, Alex J. Smola*147 citations*
8. **[Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions ↗](http://eceweb.ucsd.edu/~gert/papers/nips_mmd.pdf)**Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet et al.*144 citations*
9. **[Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0868.pdf)**Grzegorz Świrszcz, Naoki Abe, Aurelie C. Lozano*97 citations*
10. **[Efficient Learning using Forward-Backward Splitting ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0248.pdf)**Yoram Singer, John C. Duchi*87 citations*

## All accepted papers (57)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Advances in Neural Information Processing Systems 21 ↗](https://www.research.ed.ac.uk/portal/en/publications/a-rational-model-of-preference-learning-and-choice-prediction-by-children(0237533d-3df7-4056-9369-b02c1963fef9)/export.html)**Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams et al.*1,853 citations*
2. **[Unsupervised feature learning for audio classification using convolutional deep belief networks ↗](http://ai.stanford.edu/~hllee//nips09-AudioConvolutionalDBN.pdf)**Honglak Lee, Peter T. Pham, Yan Largman et al.*918 citations*
3. **[Replicated Softmax: an Undirected Topic Model ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0817.pdf)**Geoffrey E. Hinton, Ruslan Salakhutdinov*415 citations*
4. **[Multi-Label Prediction via Compressed Sensing ↗](http://ece.duke.edu/~lcarin/MultLabelCS.pdf)**John C. Langford, Tong Zhang, Daniel Hsu et al.*258 citations*
5. **[Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models ↗](https://www.cs.nyu.edu/~mohri/pub/maxent.pdf)**Ryan McDonald, Mehryar Mohri, Nathan Silberman et al.*224 citations*
6. **[Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation ↗](http://castlelab.princeton.edu/ORF569papers/Maei%20-%20convergent%20temporal-difference%20learning%20with%20arbitrary%20smooth%20function%20approximation.pdf)**Shalabh Bhatnagar, Doina Precup, David Silver et al.*155 citations*
7. **[Slow Learners are Fast ↗](http://alex.smola.org/papers/2009/LanSmoZin09.pdf)**Martin Zinkevich, John C. Langford, Alex J. Smola*147 citations*
8. **[Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions ↗](http://eceweb.ucsd.edu/~gert/papers/nips_mmd.pdf)**Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet et al.*144 citations*
9. **[Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0868.pdf)**Grzegorz Świrszcz, Naoki Abe, Aurelie C. Lozano*97 citations*
10. **[Efficient Learning using Forward-Backward Splitting ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0248.pdf)**Yoram Singer, John C. Duchi*87 citations*
11. **[Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data ↗](https://papers.nips.cc/paper/3651-learning-brain-connectivity-of-alzheimers-disease-from-neuroimaging-data.pdf)**Shuai Huang, Jing Li, Liang Sun et al.*77 citations*
12. **[Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_1140.pdf)**Barry Chai, Dirk B. Walther, Diane M. Beck et al.*66 citations*
13. **[Noisy Generalized Binary Search ↗](https://papers.nips.cc/paper/3721-noisy-generalized-binary-search.pdf)**Robert D. Nowak*62 citations*
14. **[Slow, Decorrelated Features for Pretraining Complex Cell-like Networks ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0933.pdf)**Yoshua Bengio, James Bergstra*61 citations*
15. **[Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data ↗](https://proceedings.neurips.cc/paper/2009/file/68ce199ec2c5517597ce0a4d89620f55-Paper.pdf)**Boaz Nadler, Nathan Srebro, Xueyuan Zhou*52 citations*
16. **[On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0603.pdf)**Saketha Nath Jagarlapudi, G. Dinesh, Raman Sankaran et al.*50 citations*
17. **[Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis ↗](https://papers.nips.cc/paper/3784-orthogonal-matching-pursuit-from-noisy-random-measurements-a-new-analysis.pdf)**Sundeep Rangan, Alyson K. Fletcher*47 citations*
18. **[Matrix Completion from Power-Law Distributed Samples ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0864.pdf)**Raghu Meka, Prateek Jain, Inderjit S. Dhillon*44 citations*
19. **[Nonlinear directed acyclic structure learning with weakly additive noise models ↗](http://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/NIPS2009-Tillman_[0].pdf)**Arthur Gretton, Peter Spirtes, Robert E. Tillman*44 citations*
20. **[Sequential effects reflect parallel learning of multiple environmental regularities ↗](http://matt.colorado.edu/papers/wilder-jones-mozer_nips09.pdf)**Matthew Wilder, Matt Jones, Michael C. Mozer*43 citations*
21. **[Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing ↗](https://papers.nips.cc/paper/3635-asymptotic-analysis-of-map-estimation-via-the-replica-method-and-compressed-sensing.pdf)**Sundeep Rangan, Vivek K Goyal, Alyson K. Fletcher*37 citations*
22. **[Boosting with Spatial Regularization ↗](http://books.nips.cc/papers/files/nips22/NIPS2009_0149.pdf)**Yongxin Xi, Uri Hasson, Peter J. Ramadge et al.*30 citations*
23. **[No evidence for active sparsification in the visual cortex ↗](https://papers.nips.cc/paper/3774-no-evidence-for-active-sparsification-in-the-visual-cortex.pdf)**Pietro Berkes, Benjamen White, József Fiser*28 citations*
24. **[Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes ↗](https://papers.nips.cc/paper/3786-generalization-errors-and-learning-curves-for-regression-with-multi-task-gaussian-processes.pdf)**Kian Ming A. Chai*27 citations*
25. **[Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions ↗](https://cs.stanford.edu/groups/vision/pdf/YaoWaltherBeckFei-Fei_NIPS2009.pdf)**Bangpeng Yao, Dirk B. Walther, Diane M. Beck et al.*27 citations*

[See all 57 papers in NeurIPS 2009 — accepted papers →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2009/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Reading Tea Leaves: How Humans Interpret Topic Models](https://md.research.elamur.ai/free/en/papers/chang-2009-reading-tea-leaves-humans-interpret-topic/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.*2009 · 2,045 citations*

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**David M. Blei**1 work here · 2,045 citations](https://md.research.elamur.ai/free/en/authors/david-m-blei/) · [🧑‍🔬**Jonathan Chang**1 work here · 2,045 citations](https://md.research.elamur.ai/free/en/authors/jonathan-chang/) · [🧑‍🔬**Jordan Boyd-Graber**1 work here · 2,045 citations](https://md.research.elamur.ai/free/en/authors/jordan-boyd-graber/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Princeton University** Princeton · United States 1 work here](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**University of Maryland, College Park** College Park · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/)

works and citations from OpenAlex and our library.

- [next → NeurIPS 2013](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2013/)
- [↑ back to NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)