Lester Mackey
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods 6
- Random Matrices and Applications 5
- Statistical Methods and Inference 5
- Occupational Therapy top 5%
- Artificial Intelligence top 5%
- Machine Learning and Algorithms 6
- Bayesian Methods and Mixture Models 5
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- Sparse and Compressive Sensing Techniques 6
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- Particle physics theoretical and experimental studies 5
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- Face and Expression Recognition 4
- Co-authors
- Michael I. JordanAmeet TalwalkarJohn C. DuchiNeil Zhenqiang GongEui Chul Richard ShinElaine ShiDawn SongEmil Stefanov
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology) (2 papers)ACM SIGPLAN Notices (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Lester Mackey
47 papers receiving 816 citations
Peers
Comparison fields: 5 of 138
- Computational Mathematics 7
- Statistics and Probability 90
- Occupational Therapy 41
- Artificial Intelligence 313
- Statistical and Nonlinear Physics 100
Countries citing papers authored by Lester Mackey
This map shows the geographic impact of Lester Mackey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lester Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lester Mackey more than expected).
Fields of papers citing papers by Lester Mackey
This network shows the impact of papers produced by Lester Mackey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lester Mackey. The network helps show where Lester Mackey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lester Mackey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 18 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | Stein's Method Meets Statistics: A Review of Some Recent Developments | 2021 | 3 |
| 5 | Cross-validation Confidence Intervals for Test Error | 2020 | 2 |
| 6 | Importance Sampling via Local Sensitivity | 2020 | 1 |
| 7 | Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions | 2019 | 0 |
| 8 | Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond | 2019 | 2 |
| 9 | Model Compression with Generative Adversarial Networks | 2018 | 2 |
| 10 | 2018 | 2 | |
| 11 | 2018 | 16 | |
| 12 | Measuring Sample Quality with Kernels | 2017 | 5 |
| 13 | Measuring sample quality with Stein's method | 2015 | 11 |
| 14 | THE ASYMPTOTICS OF RANKING ALGORITHMS | 2012 | 7 |
| 15 | Divide-and-Conquer Matrix Factorization | 2011 | 13 |
| 16 | On the Consistency of Ranking Algorithms | 2010 | 51 |
| 17 | Improved Automated Seismic Event Extraction Using Machine Learning | 2009 | 6 |
| 18 | Deflation Methods for Sparse PCA | 2008 | 109 |
| 19 | 2006 | 21 | |
| 20 | 2006 | 5 |
About Lester Mackey
Lester Mackey is a scholar working on Computational Mathematics, Statistics and Probability, Issues, ethics and legal aspects, Artificial Intelligence and Nuclear and High Energy Physics, having authored 51 papers that have together received 855 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Machine Learning and Algorithms (6 papers), Markov Chains and Monte Carlo Methods (6 papers), Bayesian Methods and Mixture Models (5 papers), Random Matrices and Applications (5 papers), Particle physics theoretical and experimental studies (5 papers), Statistical Methods and Inference (5 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Computational Mathematics (7 citations), Statistics and Probability (90 citations), Occupational Therapy (41 citations), Artificial Intelligence (313 citations) and Statistical and Nonlinear Physics (100 citations). Lester Mackey has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael I. Jordan, Ameet Talwalkar, John C. Duchi, Neil Zhenqiang Gong, Eui Chul Richard Shin, Elaine Shi, Dawn Song, Emil Stefanov, Ling Huang and Judah Cohen. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), ACM SIGPLAN Notices, Nature Communications, The Annals of Applied Statistics and Neurology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.