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Mackey, Lester

  1. Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
    2023/10/03 by Eric Zelikman, Eliana Lorch, Zelikman, Eric +5 · 4 voices · 14 citations
    Computer Science · #Parallel Computing and Optimization Techniques #Machine Learning and Data Classification #Software Testing and Debugging Techniques
  2. Measuring Sample Quality with Kernels
    2017/03/06 by Gorham, Jackson, Mackey, Lester · 14 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
    2023/11/28 by Konstantin Klemmer, Klemmer, Konstantin, Esther Rolf +7 · 1 voice · 22 citations
    Computer Science · Engineering · #Remote-Sensing Image Classification #cs.AI #cs.CV #cs.CY #cs.LG
  4. Distribution Compression in Near-linear Time
    2021/11/15 by Abhishek Shetty, Raaz Dwivedi, Shetty, Abhishek +3 · 1 voice · 3 citations
    Mathematics · Computer Science · #Mathematical Approximation and Integration #Markov Chains and Monte Carlo Methods #Generative Adversarial Networks and Image Synthesis
  5. Measuring Sample Quality with Stein's Method
    2015/06/09 by Gorham, Jackson, Mackey, Lester · 8 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Probability (math.PR)
  6. Do Language Models Know When They're Hallucinating References?
    2023/05/29 by Ayush Agrawal, Agrawal, Ayush, Suzgun, Mirac +4 · 14 citations
    Computer Science · Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Misinformation and Its Impacts #Topic Modeling
  7. Stein's Method Meets Computational Statistics: A Review of Some Recent Developments
    2021/05/07 by Andreas Anastasiou, Anastasiou, Andreas, Alessandro Barp +25 · 10 citations
    Mathematics · #Random Matrices and Applications #Advanced Combinatorial Mathematics #Statistical Methods and Bayesian Inference
  8. Feature-Weighted Linear Stacking
    2009/11/03 by Joseph Sill, G. Takács, Sill, Joseph +5 · 6 citations
    Computer Science · #Image Retrieval and Classification Techniques #Medical Image Segmentation Techniques #Advanced Image and Video Retrieval Techniques
  9. Stein Points
    2018/03/27 by Wilson Ye Chen, Chen, Wilson Ye, Lester Mackey +7 · 7 citations
    Mathematics · #History and Theory of Mathematics
  10. Metrizing Weak Convergence with Maximum Mean Discrepancies
    2020/06/16 by Carl-Johann Simon-Gabriel, Simon-Gabriel, Carl-Johann, Alessandro Barp +3 · 8 citations
    Mathematics · #Mathematical Approximation and Integration #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference
  11. Informed Correctors for Discrete Diffusion Models
    2024/07/30 by Yixiu Zhao, Jiaxin Shi, Zhao, Yixiu +5 · 14 citations
    Computer Science · #Advanced Mathematical Modeling in Engineering #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Optimal Thinning of MCMC Output
    2020/05/08 by Marina Riabiz, Wilson Chen, Riabiz, Marina +11 · 6 citations
    Computer Science · Mathematics · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistics Theory (math.ST) #Theoretical and Computational Physics
  13. Kernel Thinning
    2021/05/12 by Raaz Dwivedi, Dwivedi, Raaz, Lester Mackey +1 · 6 citations
    Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Approximation and Integration #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
  14. Cross-validation Confidence Intervals for Test Error
    2020/07/24 by Bayle, Pierre, Bayle, Alexandre, Janson, Lucas +1 · 6 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  15. Minimax Estimation of Conditional Moment Models
    2020/06/12 by Nishanth Dikkala, Greg Lewis, Dikkala, Nishanth +5 · 7 citations
    Mathematics · Computer Science · Decision Sciences · #Statistical Methods and Inference #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design
  16. Initialization and Regularization of Factorized Neural Layers
    2021/05/03 by Mikhail Khodak, Khodak, Mikhail, Neil Tenenholtz +5 · 4 citations
    Computer Science · Mathematics · Physics and Astronomy · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Tensor decomposition and applications
  17. Orthogonal Machine Learning: Power and Limitations
    2017/11/01 by Mackey, Lester, Syrgkanis, Vasilis, Zadik, Ilias · 3 citations
    #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  18. Accurate Inference for Adaptive Linear Models
    2017/12/18 by Yash Deshpande, Lester Mackey, Deshpande, Yash +5 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
    2021/09/21 by Mouatadid, Soukayna, Orenstein, Paulo, Flaspohler, Genevieve +8 · 4 citations
    #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
    2018/09/19 by Hwang, Jessica, Orenstein, Paulo, Cohen, Judah +2 · 3 citations
    #Applications (stat.AP) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (stat.ML)
  21. Minimum Stein Discrepancy Estimators
    2019/06/19 by Barp, Alessandro, Briol, Francois-Xavier, Duncan, Andrew B. +2 · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  22. Approximate Cross-validation: Guarantees for Model Assessment and Selection
    2020/03/02 by Wilson, Ashia, Kasy, Maximilian, Mackey, Lester · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Compress Then Test: Powerful Kernel Testing in Near-linear Time
    2023/01/14 by Domingo-Enrich, Carles, Dwivedi, Raaz, Mackey, Lester · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  24. A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
    2022/11/17 by Jiaxin Shi, Lester Mackey, Shi, Jiaxin +1 · 3 citations
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms
  25. Targeted Separation and Convergence with Kernel Discrepancies
    2022/09/26 by Alessandro Barp, Barp, Alessandro, Carl-Johann Simon-Gabriel +5 · 3 citations
    Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistics Theory (math.ST)
  26. Generalized Kernel Thinning
    2021/10/04 by Raaz Dwivedi, Lester Mackey, Dwivedi, Raaz +1 · 4 citations
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Mathematical Approximation and Integration #Markov Chains and Monte Carlo Methods
  27. Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
    2019/06/19 by Li, Xuechen, Wu, Denny, Mackey, Lester +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Near-optimal inference in adaptive linear regression
    2021/07/05 by Khamaru, Koulik, Deshpande, Yash, Lattimore, Tor +2 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  29. Debiased Distribution Compression
    2024/04/18 by Lingxiao Li, Raaz Dwivedi, Li, Lingxiao +3 · 3 citations
    Computer Science · #Advanced Data Compression Techniques #Algorithms and Data Compression #Computation (stat.CO) #Embedded Systems Design Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  30. Efron-Stein Inequalities for Random Matrices
    2014/08/15 by Paulin, Daniel, Mackey, Lester, Tropp, Joel A. · 1 citation
    #60B20 (Primary) #60E15 #60F10 #60G09 (Secondary) #FOS: Mathematics #Functional Analysis (math.FA) #Probability (math.PR)
  31. Measuring Sample Quality with Diffusions
    2016/11/21 by Gorham, Jackson, Duncan, Andrew B., Vollmer, Sebastian J. +1 · 1 citation
    #60E15 #60J60 #62-04 #62E17 #65C05 #65C60 (Primary) 62-07 #68T05 (Secondary) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR)
  32. Sampling with Mirrored Stein Operators
    2021/06/23 by Shi, Jiaxin, Liu, Chang, Mackey, Lester · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  33. Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
    2025/10/03 by Cai Zhou, Chenxiao Yang, Zhou, Cai +16 · 7 citations
    Computer Science · Social Sciences · #Topic Modeling #Language and cultural evolution #Generative Adversarial Networks and Image Synthesis
  34. Bounding Wasserstein distance with couplings
    2021/12/06 by Biswas, Niloy, Mackey, Lester · 1 citation
    #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  35. Gradient Estimation with Discrete Stein Operators
    2022/02/19 by Shi, Jiaxin, Zhou, Yuhao, Hwang, Jessica +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  36. Efficient Concentration with Gaussian Approximation
    2022/08/21 by Austern, Morgane, Mackey, Lester · 1 citation
    #60F10 #62G15 #FOS: Mathematics #Probability (math.PR) #Statistics Theory (math.ST)
  37. Controlling Moments with Kernel Stein Discrepancies
    2022/11/10 by Kanagawa, Heishiro, Barp, Alessandro, Gretton, Arthur +1 · 1 citation
    #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  38. Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
    2023/06/20 by Adam, Hammaad, Yin, Fan, Huibin +5 · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  39. Low-Rank Thinning
    2025/02/17 by Annabelle Michael Carrell, Albert Gong, Carrell, Annabelle Michael +7 · 6 voices · 1 citation
    #stat.ML #cs.LG #math.OC #math.ST #stat.ME
  40. Random Feature Stein Discrepancies
    2018/06/20 by Huggins, Jonathan H., Mackey, Lester · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  41. Learning Rate Free Sampling in Constrained Domains
    2023/05/24 by Sharrock, Louis, Mackey, Lester, Nemeth, Christopher · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  42. Adapting Language Models via Token Translation
    2024/11/01 by Zhili Feng, Feng, Zhili, Tanya Marwah +7 · 1 citation
    Computer Science · #Natural Language Processing Techniques
  43. Cheap Permutation Testing
    2025/02/11 by Carles Domingo-Enrich, Domingo-Enrich, Carles, Raaz Dwivedi +3 · 1 voice · 1 citation
    Computer Science · #Software Testing and Debugging Techniques
  44. Importance Sampling via Local Sensitivity
    2019/11/04 by Anant Raj, Cameron Musco, Raj, Anant +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
  45. KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
    2025/12/22 by Eric Zimmermann, Zimmermann, Eric, Harley Wiltzer +7 · 1 citation
    Computer Science · #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference