EconBase
← All authors

Lester Mackey

University of California, Berkeley (per OpenAlex) · ORCID · OpenAlex

16 papers in scope · 14 published · 2 on the econ.EM arXiv · 288 citations · h-index 8 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Masatoshi Uehara
  2. Zhengling Qi
  3. Andrew Bennett
  4. Zihao Li
  5. Mengdi Wang
  6. Vasilis Syrgkanis
  7. Nathan Kallus
  8. Yanxun Xu
  9. Mao Hong
  10. Xiaojie Mao
  11. Erfan Loghmani
  12. Hui Lan
  13. Siyu Chen
  14. Zhuoran Yang
  15. Greg Lewis
  16. Rahul Singh
  17. Haruo Kakehi
  18. Whitney K. Newey
  19. Nishanth Dikkala
  20. Christopher J. Sullivan

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(2 of 16)

Near-optimal inference in adaptive linear regression
published2025 · The Annals of Statistics · 5 citations
with Koulik Khamaru, Yash Deshpande, Tor Lattimore, Martin J. Wainwright
The Annals of Statistics
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
published2025 · Proceedings of the AAAI Conference on Artificial Intelligence · 39 citations · first circulated 2023
with Konstantin Klemmer, Esther Rolf, Caleb Robinson, Marc Rußwurm
Proceedings of the AAAI Conference on Artificial Intelligence
Bounding Wasserstein Distance with Couplings
published2023 · Journal of the American Statistical Association
with Niloy Biswas
Journal of the American Statistical Association
Independent Finite Approximations for Bayesian Nonparametric Inference
published2023 · Bayesian Analysis · 5 citations · first circulated 2020
with Tin D. Nguyen, Jonathan H. Huggins, Lorenzo Masoero, Tamara Broderick
Bayesian Analysis
A kernel Stein test for comparing latent variable models
published2023 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 7 citations · first circulated 2019
with Heishiro Kanagawa, Wittawat Jitkrittum, Kenji Fukumizu, Arthur Gretton
Journal of the Royal Statistical Society Series B (Statistical Methodology)
Social norm bias: residual harms of fairness-aware algorithms
published2023 · Data Mining and Knowledge Discovery · 8 citations · first circulated 2021
with Myra Cheng, Maria De-Arteaga, Adam Tauman Kalai
Data Mining and Knowledge Discovery
Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments
published2022 · Statistical Science · 27 citations · first circulated 2021
with Andreas Anastasiou, Alessandro Barp, François-Xavier Briol, Bruno Ebner, Robert E. Gaunt, Fatemeh Ghaderinezhad, Jackson Gorham, Arthur Gretton, Christophe Ley, Qiang Liu, Chris J. Oates, Gesine Reinert, …
Statistical Science
Optimal Thinning of MCMC Output
published2022 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 37 citations · first circulated 2020
with Marina Riabiz, Wilson Ye Chen, Jon Cockayne, Pawel Swietach, Steven Niederer, Chris J. Oates, Wilson Chen
Journal of the Royal Statistical Society Series B (Statistical Methodology)
Kernel Thinning
published2021 · Conference on Learning Theory · 2 citations
with Raaz Dwivedi
Conference on Learning Theory
Minimax Estimation of Conditional Moment Models
working paper2020 · arXiv · 21 citations
with Nishanth Dikkala, Greg Lewis, Vasilis Syrgkanis
Paper profile arXiv arXiv:2006.07201
Importance Sampling via Local Sensitivity
published2020 · International Conference on Artificial Intelligence and Statistics · 3 citations · first circulated 2019
with Anant Raj, Cameron Musco
International Conference on Artificial Intelligence and Statistics
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
published2019 · Scientific Reports · 56 citations
with Robert Kueffner, Neta Zach, Maya Bronfeld, Raquel Norel, Nazem Atassi, Venkatachalapathy S. K. Balagurusamy, Barbara Di Camillo, Adriano Chiò, Merit Cudkowicz, Donna Dillenberger, Javier García-García, Orla Hardiman, …
Scientific Reports
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions
published2019 · Neural Information Processing Systems · 16 citations
with Ashia Wilson, Andre Wibisono
Neural Information Processing Systems
Orthogonal Machine Learning: Power and Limitations
working paper2017 · arXiv · 8 citations
with Vasilis Syrgkanis, Ilias Zadik
Paper profile arXiv arXiv:1711.00342
Improving Gibbs Sampler Scan Quality with DoGS
published2017 · International Conference on Machine Learning · 4 citations
with Ioannis Mitliagkas
International Conference on Machine Learning
Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study
published2017 · BMJ Open · 50 citations
with Suzanne Tamang, Arnold Milstein, Henrik Toft Sørensen, Lars Pedersen, Jean-Raymond Betterton, Lucas Janson, Nigam H. Shah
BMJ Open

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.