🧑‍🔬 Michael I. Jordan — all works

77 works · ← Michael I. Jordan

1. Latent Dirichlet AllocationJMLR 3David M. Blei, Andrew Y. Ng, Michael I. Jordan2003 · 28,408 citations
2. Hierarchical Dirichlet Processes ↗Journal of the American Statistical Association 101 · no summary yetYee Whye Teh et al.2006 · 3,627 citations
3. Trust Region Policy Optimization ↗arXiv:1502.05477 · no summary yetJohn Schulman et al.2015 · 3,015 citations
4. High-Dimensional Continuous Control Using Generalized Advantage Estimation ↗arXiv:1506.02438 · no summary yetJohn Schulman et al.2015 · 1,867 citations
5. Modeling annotated data ↗no summary yetDavid M. Blei, Michael I. Jordan2003 · 1,084 citations
6. Hierarchical Topic Models and the Nested Chinese Restaurant Process ↗no summary yetThomas L. Griffiths et al.2003 · 986 citations
7. The Constrained Laplacian Rank Algorithm for Graph-Based Clustering ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetFeiping Nie et al.2016 · 837 citations
8. Learning Dependency-Based Compositional Semantics ↗Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yetPercy Liang, Michael Jordan, Dan Klein2011 · 797 citations
9. The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies ↗Journal of the ACM · no summary yetDavid M. Blei, Thomas L. Griffiths, Michael I. Jordan2007 · 675 citations
10. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferencearXiv:2403.04132Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.2024 · 546 citations
11. Managing data transfers in computer clusters with orchestra ↗ACM SIGCOMM Conference (SIGCOMM) · no summary yetMosharaf Chowdhury et al.2011 · 544 citations
12. Matching Words and Pictures ↗no summary yetKobus Barnard et al.2003 · 511 citations
13. Universal Domain Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKaichao You et al.2019 · 493 citations
14. Learning Semantic Correspondences with Less SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Percy Liang, Michael Jordan, Dan Klein2009 · 458 citations
15. Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes ↗no summary yetYee Whye Teh et al.2004 · 440 citations
16. Ray: A Distributed Framework for Emerging AI Applications ↗arXiv (Cornell University) · no summary yetPhilipp Moritz et al.2017 · 437 citations
17. RLlib: Abstractions for Distributed Reinforcement Learning ↗arXiv (Cornell University) · no summary yetEric Liang et al.2017 · 382 citations
18. Variational Bayesian Inference with Stochastic Search ↗arXiv (Cornell University) · no summary yetJohn William Paisley, David M. Blei, Michael I. Jordan2012 · 300 citations
19. Predictive low-rank decomposition for kernel methods ↗International Conference on Machine Learning · no summary yetFrancis Bach, Michael I. Jordan2005 · 238 citations
20. Nested Hierarchical Dirichlet Processes ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetJohn William Paisley et al.2012 · 234 citations
21. The Infinite PCFG Using Hierarchical Dirichlet Processes ↗Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) · no summary yetPercy Liang et al.2007 · 203 citations
22. A Berkeley View of Systems Challenges for AI ↗arXiv (Cornell University) · no summary yetIon Gabriel Stoica et al.2017 · 170 citations
23. Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning ↗arXiv (Cornell University) · no summary yetVladimir Feinberg et al.2018 · 162 citations
24. Knowing when you're wrong ↗Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yetSameer Agarwal et al.2014 · 159 citations
25. Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers ↗International Conference on Machine Learning · no summary yetHong Liu et al.2019 · 158 citations
26. Statistical debugging ↗International Conference on Machine Learning · no summary yetAlice X. Zheng et al.2006 · 149 citations
27. Learning from measurements in exponential families ↗International Conference on Machine Learning · no summary yetPercy Liang, Michael I. Jordan, Dan Klein2009 · 137 citations
28. Nonparametric empirical Bayes for the Dirichlet process mixture model ↗Statistics and Computing · no summary yetJon McAuliffe, David M. Blei, Michael I. Jordan2006 · 126 citations
29. An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators ↗International Conference on Machine Learning · no summary yetPercy Liang, Michael I. Jordan2008 · 117 citations
30. Learning Programs: A Hierarchical Bayesian Approach ↗no summary yetPercy Liang, Michael I. Jordan, Dan Klein2010 · 99 citations
31. SparkNet: Training Deep Networks in Spark ↗arXiv (Cornell University) · no summary yetPhilipp Moritz et al.2015 · 87 citations
32. Probabilistic models of text and images ↗no summary yetDavid M. Blei, Michael I. Jordan2004 · 66 citations
33. Agreement-Based Learning ↗no summary yetPercy Liang, Dan Klein, Michael I. Jordan2007 · 51 citations
34. Real-Time Machine Learning ↗Workshop on Hot Topics in Operating Systems · no summary yetRobert Nishihara et al.2017 · 48 citations
35. Type-Based MCMC ↗Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yetPercy Liang, Michael I. Jordan, Dan Klein2010 · 47 citations
36. Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span ↗BMC Bioinformatics · no summary yetDavid M. Blei et al.2006 · 37 citations
37. Stick-Breaking Beta Processes and the Poisson Process ↗no summary yetJohn William Paisley, David M. Blei, Michael I. Jordan2012 · 30 citations
38. Probabilistic grammars and hierarchical Dirichlet processes ↗Oxford University Press eBooks · no summary yetPercy Liang, Michael I. Jordan, Dan Klein24 citations
39. Bayesian Nonnegative Matrix Factorization with Stochastic Variational Inference ↗Chapman & Hall/CRC eBooks · no summary yetJohn William Paisley, David M. Blei, Michael I. Jordan2014 · 23 citations
40. MLSys: The New Frontier of Machine Learning Systems ↗arXiv (Cornell University) · no summary yetAlexander Ratner et al.2019 · 19 citations
41. A general bootstrap performance diagnostic ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetAriel Kleiner et al.2013 · 17 citations
42. Real-Time Machine Learning: The Missing Pieces ↗arXiv (Cornell University) · no summary yetRobert Nishihara et al.2017 · 16 citations
43. On the accuracy of self-normalized log-linear models ↗arXiv (Cornell University) · no summary yetJacob Andreas et al.2015 · 15 citations
44. Asymptotically Optimal Regularization in Smooth Parametric Models ↗no summary yetPercy Liang et al.2009 · 14 citations
45. A permutation-augmented sampler for DP mixture models ↗International Conference on Machine Learning · no summary yetPercy Liang, Michael I. Jordan, Ben Taskar2007 · 14 citations
46. A Million Cancer Genome Warehouse ↗UC Berkeley · no summary yetDavid H. Haussler et al.2012 · 12 citations
47. Supervised hierarchical Pitman-Yor process for natural scene segmentation ↗no summary yetAlex Shyr et al.2011 · 12 citations
48. An Overview of Large Language Models for Statisticians ↗arXiv:2502.17814 · no summary yetWenlong Ji et al.2025 · 10 citations
49. Asynchronous Complex Analytics in a Distributed Dataflow Architecture ↗arXiv (Cornell University) · no summary yetJoseph E. Gonzalez et al.2015 · 10 citations
50. On Optimal Caching and Model Multiplexing for Large Model Inference ↗arXiv (Cornell University) · no summary yetBanghua Zhu et al.2023 · 5 citations
51. Learning Equilibria in Matching Markets with Bandit Feedback ↗Journal of the ACM · no summary yetMeena Jagadeesan et al.2021 · 5 citations
52. Mechanism Design with Bandit Feedback. ↗arXiv (Cornell University) · no summary yetKirthevasan Kandasamy et al.2020 · 5 citations
53. Online Learning Demands in Max-min Fairness ↗arXiv (Cornell University) · no summary yetKirthevasan Kandasamy et al.2020 · 5 citations
54. Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ↗arXiv (Cornell University) · no summary yetBrijen Thananjeyan et al.2020 · 5 citations
55. A Nested HDP for Hierarchical Topic Models ↗arXiv (Cornell University) · no summary yetJohn William Paisley et al.2013 · 5 citations
56. Understanding In-context Learning of Addition via Activation Subspaces ↗arXiv (Cornell University) · no summary yetXinyan Hu et al.2025 · 4 citations
57. Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition ↗neural information processing systems · no summary yetMeena Jagadeesan et al.2023 · 4 citations
58. The Stick-Breaking Construction of the Beta Process as a Poisson Process ↗arXiv (Cornell University) · no summary yetJohn William Paisley, David M. Blei, Michael I. Jordan2011 · 4 citations
59. NumS: Scalable Array Programming for the Cloud ↗arXiv:2206.14276 · no summary yetMelih Elibol et al.2022 · 3 citations
60. Towards Optimal Caching and Model Selection for Large Model Inference ↗neural information processing systems · no summary yetBanghua Zhu et al.2023 · 2 citations
61. The Sky Above The Clouds ↗arXiv (Cornell University) · no summary yetSarah Chasins et al.2022 · 2 citations
62. THE BERKELEY DATA ANALYSIS SYSTEM (BDAS): AN OPEN SOURCE PLATFORM FOR BIG DATA ANALYTICS ↗no summary yetIon Gabriel Stoica et al.2017 · 2 citations
63. Hierarchical Bayesian Models for Applications in Information retrieval ↗no summary yetJ. M. Bernardo et al.2003 · 2 citations
64. Incentivizing High-Quality Content in Online Recommender Systems ↗arXiv (Cornell University) · no summary yetXinyan Hu et al.2023 · 1 citation
65. Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees ↗arXiv (Cornell University) · no summary yetBanghua Zhu et al.2022 · 1 citation
66. PAC Best Arm Identification Under a Deadline ↗arXiv (Cornell University) · no summary yetBrijen Thananjeyan et al.2021 · 1 citation
67. Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entry ↗RePEc: Research Papers in Economics · no summary yetMeena Jagadeesan, Michael I. Jordan, Jacob Steinhardt2024
68. Online Learning of Competitive Equilibria in Exchange Economies. ↗arXiv (Cornell University) · no summary yetWenshuo Guo et al.2021
69. \tThe nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies ↗no summary yetDavid M. Blei, Thomas L. Griffiths, Michael I. Jordan2010
70. Probabilistic models of evolution and language change ↗no summary yetMichael I. Jordan, Dan Klein, Alexandre Bouchard‐Côté2010
71. To appear in: The Handbook of Applied Bayesian Analysis ↗no summary yetPercy Liang et al.2009
72. Chapter? of The Handbook of Applied Bayesian Analysis ↗no summary yetPercy Liang et al.2009
73. ICMLA 2008 Invited Speakers ↗International Conference on Machine Learning and Applications · no summary yetDan Roth et al.2008
74. Hierarchical topic models and the nested Chinese restaurant process. NIPS ↗no summary yetDavid M. Blei et al.2004
75. DOI:\t 10.1145/1015330.1015439\t ·\t Source:\t CiteSeer CITATIONS ↗no summary yetMichael I. Jordan, David M. Blei2004
76. Source:\t DBLP CITATIONS ↗no summary yetMichael I. Jordan, David M. Blei2004
77. Variational inference in a truncated Dirichlet process ↗no summary yetDavid M. Blei, Michael I. Jordan2003

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