---
title: "Michael I. Jordan — all works — Elamur Research"
description: "All 77 works of Michael I. Jordan in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/michael-i-jordan/works/"
---
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# Michael I. Jordan — all works

77 works · [← Michael I. Jordan](https://md.research.elamur.ai/free/en/authors/michael-i-jordan/)

1. [**Latent Dirichlet Allocation JMLR 3**David M. Blei, Andrew Y. Ng, Michael I. Jordan*2003 · 28,408 citations*](https://md.research.elamur.ai/free/en/papers/blei-2003-latent-dirichlet-allocation/)
2. [**Hierarchical Dirichlet Processes Journal of the American Statistical Association 101**Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, et al.*2006 · 3,627 citations*](https://md.research.elamur.ai/free/en/papers/teh-2006-hierarchical-dirichlet-processes/)
3. **[Trust Region Policy Optimization ↗](https://arxiv.org/abs/1502.05477) arXiv:1502.05477 · no summary yet**John Schulman et al.*2015 · 3,015 citations*
4. **[High-Dimensional Continuous Control Using Generalized Advantage Estimation ↗](https://arxiv.org/abs/1506.02438) arXiv:1506.02438 · no summary yet**John Schulman et al.*2015 · 1,867 citations*
5. **[Modeling annotated data ↗](https://doi.org/10.1145/860435.860460) no summary yet**David M. Blei, Michael I. Jordan*2003 · 1,084 citations*
6. **[Hierarchical Topic Models and the Nested Chinese Restaurant Process ↗](https://openalex.org/W2132827946) no summary yet**Thomas L. Griffiths et al.*2003 · 986 citations*
7. **[The Constrained Laplacian Rank Algorithm for Graph-Based Clustering ↗](https://doi.org/10.1609/aaai.v30i1.10302) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Feiping Nie et al.*2016 · 837 citations*
8. **[Learning Dependency-Based Compositional Semantics ↗](https://aclanthology.org/P11-1060/) Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Percy Liang, Michael Jordan, Dan Klein*2011 · 797 citations*
9. **[The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies ↗](https://doi.org/10.1145/1667053.1667056) Journal of the ACM · no summary yet**David M. Blei, Thomas L. Griffiths, Michael I. Jordan*2007 · 675 citations*
10. [**Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference arXiv:2403.04132**Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.*2024 · 546 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2024-chatbot-arena-open-platform-evaluating/)
11. **[Managing data transfers in computer clusters with orchestra ↗](https://doi.org/10.1145/2018436.2018448) ACM SIGCOMM Conference (SIGCOMM) · no summary yet**Mosharaf Chowdhury et al.*2011 · 544 citations*
12. **[Matching Words and Pictures ↗](https://openalex.org/W7011438494) no summary yet**Kobus Barnard et al.*2003 · 511 citations*
13. **[Universal Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2019.00283) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Kaichao You et al.*2019 · 493 citations*
14. **[Learning Semantic Correspondences with Less Supervision](https://md.research.elamur.ai/free/en/papers/liang-2009-learning-semantic-correspondences-less-supervision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Percy Liang, Michael Jordan, Dan Klein*2009 · 458 citations*
15. **[Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes ↗](https://openalex.org/W2100163972) no summary yet**Yee Whye Teh et al.*2004 · 440 citations*
16. **[Ray: A Distributed Framework for Emerging AI Applications ↗](https://arxiv.org/abs/1712.05889) arXiv (Cornell University) · no summary yet**Philipp Moritz et al.*2017 · 437 citations*
17. **[RLlib: Abstractions for Distributed Reinforcement Learning ↗](https://arxiv.org/abs/1712.09381) arXiv (Cornell University) · no summary yet**Eric Liang et al.*2017 · 382 citations*
18. **[Variational Bayesian Inference with Stochastic Search ↗](https://arxiv.org/abs/1206.6430) arXiv (Cornell University) · no summary yet**John William Paisley, David M. Blei, Michael I. Jordan*2012 · 300 citations*
19. **[Predictive low-rank decomposition for kernel methods ↗](https://doi.org/10.1145/1102351.1102356) International Conference on Machine Learning · no summary yet**Francis Bach, Michael I. Jordan*2005 · 238 citations*
20. **[Nested Hierarchical Dirichlet Processes ↗](https://doi.org/10.1109/tpami.2014.2318728) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**John William Paisley et al.*2012 · 234 citations*
21. **[The Infinite PCFG Using Hierarchical Dirichlet Processes ↗](https://aclanthology.org/D07-1072/) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) · no summary yet**Percy Liang et al.*2007 · 203 citations*
22. **[A Berkeley View of Systems Challenges for AI ↗](https://arxiv.org/abs/1712.05855) arXiv (Cornell University) · no summary yet**Ion Gabriel Stoica et al.*2017 · 170 citations*
23. **[Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning ↗](https://arxiv.org/abs/1803.00101) arXiv (Cornell University) · no summary yet**Vladimir Feinberg et al.*2018 · 162 citations*
24. **[Knowing when you're wrong ↗](https://doi.org/10.1145/2588555.2593667) Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yet**Sameer Agarwal et al.*2014 · 159 citations*
25. **[Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers ↗](https://openalex.org/W2945328857) International Conference on Machine Learning · no summary yet**Hong Liu et al.*2019 · 158 citations*
26. **[Statistical debugging ↗](https://doi.org/10.1145/1143844.1143983) International Conference on Machine Learning · no summary yet**Alice X. Zheng et al.*2006 · 149 citations*
27. **[Learning from measurements in exponential families ↗](https://doi.org/10.1145/1553374.1553457) International Conference on Machine Learning · no summary yet**Percy Liang, Michael I. Jordan, Dan Klein*2009 · 137 citations*
28. **[Nonparametric empirical Bayes for the Dirichlet process mixture model ↗](https://doi.org/10.1007/s11222-006-5196-2) Statistics and Computing · no summary yet**Jon McAuliffe, David M. Blei, Michael I. Jordan*2006 · 126 citations*
29. **[An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators ↗](https://doi.org/10.1145/1390156.1390230) International Conference on Machine Learning · no summary yet**Percy Liang, Michael I. Jordan*2008 · 117 citations*
30. **[Learning Programs: A Hierarchical Bayesian Approach ↗](https://openalex.org/W2131257014) no summary yet**Percy Liang, Michael I. Jordan, Dan Klein*2010 · 99 citations*
31. **[SparkNet: Training Deep Networks in Spark ↗](https://arxiv.org/abs/1511.06051) arXiv (Cornell University) · no summary yet**Philipp Moritz et al.*2015 · 87 citations*
32. **[Probabilistic models of text and images ↗](https://openalex.org/W2417825098) no summary yet**David M. Blei, Michael I. Jordan*2004 · 66 citations*
33. **[Agreement-Based Learning ↗](https://openalex.org/W2163403121) no summary yet**Percy Liang, Dan Klein, Michael I. Jordan*2007 · 51 citations*
34. **[Real-Time Machine Learning ↗](https://doi.org/10.1145/3102980.3102998) Workshop on Hot Topics in Operating Systems · no summary yet**Robert Nishihara et al.*2017 · 48 citations*
35. **[Type-Based MCMC ↗](https://aclanthology.org/N10-1082/) Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yet**Percy Liang, Michael I. Jordan, Dan Klein*2010 · 47 citations*
36. **[Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span ↗](https://doi.org/10.1186/1471-2105-7-250) BMC Bioinformatics · no summary yet**David M. Blei et al.*2006 · 37 citations*
37. **[Stick-Breaking Beta Processes and the Poisson Process ↗](https://openalex.org/W2204613168) no summary yet**John William Paisley, David M. Blei, Michael I. Jordan*2012 · 30 citations*
38. **[Probabilistic grammars and hierarchical Dirichlet processes ↗](https://doi.org/10.1093/oxfordhb/9780198703174.013.27) Oxford University Press eBooks · no summary yet**Percy Liang, Michael I. Jordan, Dan Klein*24 citations*
39. **[Bayesian Nonnegative Matrix Factorization with Stochastic Variational Inference ↗](https://doi.org/10.1201/b17520-20) Chapman & Hall/CRC eBooks · no summary yet**John William Paisley, David M. Blei, Michael I. Jordan*2014 · 23 citations*
40. **[MLSys: The New Frontier of Machine Learning Systems ↗](https://arxiv.org/abs/1904.03257) arXiv (Cornell University) · no summary yet**Alexander Ratner et al.*2019 · 19 citations*
41. **[A general bootstrap performance diagnostic ↗](https://doi.org/10.1145/2487575.2487650) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Ariel Kleiner et al.*2013 · 17 citations*
42. **[Real-Time Machine Learning: The Missing Pieces ↗](https://arxiv.org/abs/1703.03924) arXiv (Cornell University) · no summary yet**Robert Nishihara et al.*2017 · 16 citations*
43. **[On the accuracy of self-normalized log-linear models ↗](https://arxiv.org/abs/1506.04147) arXiv (Cornell University) · no summary yet**Jacob Andreas et al.*2015 · 15 citations*
44. **[Asymptotically Optimal Regularization in Smooth Parametric Models ↗](https://openalex.org/W2121974477) no summary yet**Percy Liang et al.*2009 · 14 citations*
45. **[A permutation-augmented sampler for DP mixture models ↗](https://doi.org/10.1145/1273496.1273565) International Conference on Machine Learning · no summary yet**Percy Liang, Michael I. Jordan, Ben Taskar*2007 · 14 citations*
46. **[A Million Cancer Genome Warehouse ↗](https://openalex.org/W282043041) UC Berkeley · no summary yet**David H. Haussler et al.*2012 · 12 citations*
47. **[Supervised hierarchical Pitman-Yor process for natural scene segmentation ↗](https://doi.org/10.1109/cvpr.2011.5995647) no summary yet**Alex Shyr et al.*2011 · 12 citations*
48. **[An Overview of Large Language Models for Statisticians ↗](https://arxiv.org/abs/2502.17814) arXiv:2502.17814 · no summary yet**Wenlong Ji et al.*2025 · 10 citations*
49. **[Asynchronous Complex Analytics in a Distributed Dataflow Architecture ↗](https://arxiv.org/abs/1510.07092) arXiv (Cornell University) · no summary yet**Joseph E. Gonzalez et al.*2015 · 10 citations*
50. **[On Optimal Caching and Model Multiplexing for Large Model Inference ↗](https://arxiv.org/abs/2306.02003) arXiv (Cornell University) · no summary yet**Banghua Zhu et al.*2023 · 5 citations*
51. **[Learning Equilibria in Matching Markets with Bandit Feedback ↗](https://doi.org/10.1145/3583681) Journal of the ACM · no summary yet**Meena Jagadeesan et al.*2021 · 5 citations*
52. **[Mechanism Design with Bandit Feedback. ↗](https://arxiv.org/abs/2004.08924) arXiv (Cornell University) · no summary yet**Kirthevasan Kandasamy et al.*2020 · 5 citations*
53. **[Online Learning Demands in Max-min Fairness ↗](https://arxiv.org/abs/2012.08648) arXiv (Cornell University) · no summary yet**Kirthevasan Kandasamy et al.*2020 · 5 citations*
54. **[Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ↗](https://arxiv.org/abs/2011.00330) arXiv (Cornell University) · no summary yet**Brijen Thananjeyan et al.*2020 · 5 citations*
55. **[A Nested HDP for Hierarchical Topic Models ↗](https://arxiv.org/abs/1301.3570) arXiv (Cornell University) · no summary yet**John William Paisley et al.*2013 · 5 citations*
56. **[Understanding In-context Learning of Addition via Activation Subspaces ↗](https://arxiv.org/abs/2505.05145) arXiv (Cornell University) · no summary yet**Xinyan Hu et al.*2025 · 4 citations*
57. **[Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition ↗](https://doi.org/10.52202/075280-2924) neural information processing systems · no summary yet**Meena Jagadeesan et al.*2023 · 4 citations*
58. **[The Stick-Breaking Construction of the Beta Process as a Poisson Process ↗](https://arxiv.org/abs/1109.0343) arXiv (Cornell University) · no summary yet**John William Paisley, David M. Blei, Michael I. Jordan*2011 · 4 citations*
59. **[NumS: Scalable Array Programming for the Cloud ↗](https://arxiv.org/abs/2206.14276) arXiv:2206.14276 · no summary yet**Melih Elibol et al.*2022 · 3 citations*
60. **[Towards Optimal Caching and Model Selection for Large Model Inference ↗](https://doi.org/10.52202/075280-2577) neural information processing systems · no summary yet**Banghua Zhu et al.*2023 · 2 citations*
61. **[The Sky Above The Clouds ↗](https://arxiv.org/abs/2205.07147) arXiv (Cornell University) · no summary yet**Sarah Chasins et al.*2022 · 2 citations*
62. **[THE BERKELEY DATA ANALYSIS SYSTEM (BDAS): AN OPEN SOURCE PLATFORM FOR BIG DATA ANALYTICS ↗](https://openalex.org/W2767559143) no summary yet**Ion Gabriel Stoica et al.*2017 · 2 citations*
63. **[Hierarchical Bayesian Models for Applications in Information retrieval ↗](https://openalex.org/W7095674263) no summary yet**J. M. Bernardo et al.*2003 · 2 citations*
64. **[Incentivizing High-Quality Content in Online Recommender Systems ↗](https://doi.org/10.4230/lipics.forc.2026.15) arXiv (Cornell University) · no summary yet**Xinyan Hu et al.*2023 · 1 citation*
65. **[Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees ↗](https://arxiv.org/abs/2205.11765) arXiv (Cornell University) · no summary yet**Banghua Zhu et al.*2022 · 1 citation*
66. **[PAC Best Arm Identification Under a Deadline ↗](https://arxiv.org/abs/2106.03221) arXiv (Cornell University) · no summary yet**Brijen Thananjeyan et al.*2021 · 1 citation*
67. **[Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entry ↗](https://arxiv.org/abs/2409.03734) RePEc: Research Papers in Economics · no summary yet**Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt*2024*
68. **[Online Learning of Competitive Equilibria in Exchange Economies. ↗](https://arxiv.org/abs/2106.06616) arXiv (Cornell University) · no summary yet**Wenshuo Guo et al.*2021*
69. **[\tThe nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies ↗](https://openalex.org/W7101199018) no summary yet**David M. Blei, Thomas L. Griffiths, Michael I. Jordan*2010*
70. **[Probabilistic models of evolution and language change ↗](https://openalex.org/W1618185097) no summary yet**Michael I. Jordan, Dan Klein, Alexandre Bouchard‐Côté*2010*
71. **[To appear in: The Handbook of Applied Bayesian Analysis ↗](https://openalex.org/W7100969981) no summary yet**Percy Liang et al.*2009*
72. **[Chapter? of The Handbook of Applied Bayesian Analysis ↗](https://openalex.org/W7101111497) no summary yet**Percy Liang et al.*2009*
73. **[ICMLA 2008 Invited Speakers ↗](https://doi.org/10.1109/icmla.2008.151) International Conference on Machine Learning and Applications · no summary yet**Dan Roth et al.*2008*
74. **[Hierarchical topic models and the nested Chinese restaurant process. NIPS ↗](https://openalex.org/W7099976173) no summary yet**David M. Blei et al.*2004*
75. **[DOI:\t 10.1145/1015330.1015439\t ·\t Source:\t CiteSeer CITATIONS ↗](https://openalex.org/W7099091993) no summary yet**Michael I. Jordan, David M. Blei*2004*
76. **[Source:\t DBLP CITATIONS ↗](https://openalex.org/W7100090136) no summary yet**Michael I. Jordan, David M. Blei*2004*
77. **[Variational inference in a truncated Dirichlet process ↗](https://openalex.org/W197558907) no summary yet**David M. Blei, Michael I. Jordan*2003*