Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Lester Mackey

Model-specific Data Subsampling with Influence Functions


Oct 20, 2020
Anant Raj, Cameron Musco, Lester Mackey, Nicolo Fusi


  Access Paper or Ask Questions

Independent finite approximations for Bayesian nonparametric inference: construction, error bounds, and practical implications


Sep 22, 2020
Tin D. Nguyen, Jonathan Huggins, Lorenzo Masoero, Lester Mackey, Tamara Broderick


  Access Paper or Ask Questions

Cross-validation Confidence Intervals for Test Error


Jul 24, 2020
Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester Mackey

* 40 pages, 14 figures 

  Access Paper or Ask Questions

Stochastic Stein Discrepancies


Jul 06, 2020
Jackson Gorham, Anant Raj, Lester Mackey


  Access Paper or Ask Questions

Metrizing Weak Convergence with Maximum Mean Discrepancies


Jun 16, 2020
Carl-Johann Simon-Gabriel, Alessandro Barp, Lester Mackey

* 10 pages. Correction of Thm.12 in Simon-Gabriel and Sch\"olkopf, JMLR, 19(44):1-29, 2018. See http://jmlr.org/papers/v19/16-291.html 

  Access Paper or Ask Questions

Minimax Estimation of Conditional Moment Models


Jun 12, 2020
Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis


  Access Paper or Ask Questions

Optimal Thinning of MCMC Output


May 08, 2020
Marina Riabiz, Wilson Chen, Jon Cockayne, Pawel Swietach, Steven A. Niederer, Lester Mackey, Chris. J. Oates


  Access Paper or Ask Questions

Weighted Meta-Learning


Mar 20, 2020
Diana Cai, Rishit Sheth, Lester Mackey, Nicolo Fusi

* 18 pages, 7 figures 

  Access Paper or Ask Questions

Approximate Cross-validation: Guarantees for Model Assessment and Selection


Mar 02, 2020
Ashia Wilson, Maximilian Kasy, Lester Mackey

* 8 pages, 3 figures 

  Access Paper or Ask Questions

Importance Sampling via Local Sensitivity


Nov 04, 2019
Anant Raj, Cameron Musco, Lester Mackey


  Access Paper or Ask Questions

Debiasing Linear Prediction


Aug 06, 2019
Nilesh Tripuraneni, Lester Mackey


  Access Paper or Ask Questions

A Kernel Stein Test for Comparing Latent Variable Models


Jul 01, 2019
Heishiro Kanagawa, Wittawat Jitkrittum, Lester Mackey, Kenji Fukumizu, Arthur Gretton


  Access Paper or Ask Questions

Minimum Stein Discrepancy Estimators


Jun 19, 2019
Alessandro Barp, Francois-Xavier Briol, Andrew B. Duncan, Mark Girolami, Lester Mackey


  Access Paper or Ask Questions

Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond


Jun 19, 2019
Xuechen Li, Denny Wu, Lester Mackey, Murat A. Erdogdu

* 55 pages 

  Access Paper or Ask Questions

Stein Point Markov Chain Monte Carlo


May 09, 2019
Wilson Ye Chen, Alessandro Barp, François-Xavier Briol, Jackson Gorham, Mark Girolami, Lester Mackey, Chris. J. Oates

* Accepted for ICML 2019 

  Access Paper or Ask Questions

Model Compression with Generative Adversarial Networks


Dec 05, 2018
Ruishan Liu, Nicolo Fusi, Lester Mackey


  Access Paper or Ask Questions

Global Non-convex Optimization with Discretized Diffusions


Oct 29, 2018
Murat A. Erdogdu, Lester Mackey, Ohad Shamir

* 39 pages 

  Access Paper or Ask Questions

Random Feature Stein Discrepancies


Oct 27, 2018
Jonathan H. Huggins, Lester Mackey

* In Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NIPS 2018) 

  Access Paper or Ask Questions

Improving Subseasonal Forecasting in the Western U.S. with Machine Learning


Sep 19, 2018
Jessica Hwang, Paulo Orenstein, Karl Pfeiffer, Judah Cohen, Lester Mackey


  Access Paper or Ask Questions

Orthogonal Machine Learning: Power and Limitations


Aug 01, 2018
Lester Mackey, Vasilis Syrgkanis, Ilias Zadik


  Access Paper or Ask Questions

Accurate Inference for Adaptive Linear Models


Jun 20, 2018
Yash Deshpande, Lester Mackey, Vasilis Syrgkanis, Matt Taddy

* 20 pages; Updated after acceptance to ICML 2018 

  Access Paper or Ask Questions

Stein Points


Jun 19, 2018
Wilson Ye Chen, Lester Mackey, Jackson Gorham, François-Xavier Briol, Chris J. Oates


  Access Paper or Ask Questions

DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation


May 31, 2018
Jimmy Wu, Bolei Zhou, Diondra Peck, Scott Hsieh, Vandana Dialani, Lester Mackey, Genevieve Patterson


  Access Paper or Ask Questions

Expert identification of visual primitives used by CNNs during mammogram classification


Mar 13, 2018
Jimmy Wu, Diondra Peck, Scott Hsieh, Vandana Dialani, Constance D. Lehman, Bolei Zhou, Vasilis Syrgkanis, Lester Mackey, Genevieve Patterson

* Medical Imaging 2018: Computer-Aided Diagnosis, Proc. of SPIE Vol. 10575, 105752T 

  Access Paper or Ask Questions

Measuring Sample Quality with Diffusions


Feb 21, 2018
Jackson Gorham, Andrew B. Duncan, Sebastian J. Vollmer, Lester Mackey


  Access Paper or Ask Questions

Measuring Sample Quality with Kernels


Sep 13, 2017
Jackson Gorham, Lester Mackey


  Access Paper or Ask Questions

Improving Gibbs Sampler Scan Quality with DoGS


Jul 18, 2017
Ioannis Mitliagkas, Lester Mackey

* ICML 2017 

  Access Paper or Ask Questions

Measuring Sample Quality with Stein's Method


Mar 06, 2017
Jackson Gorham, Lester Mackey

* 17 pages, 6 figures 

  Access Paper or Ask Questions

Jet-Images -- Deep Learning Edition


Jan 22, 2017
Luke de Oliveira, Michael Kagan, Lester Mackey, Benjamin Nachman, Ariel Schwartzman

* JHEP 07 (2016) 069 
* 32 pages, 24 figures. Version that is published in JHEP 

  Access Paper or Ask Questions

Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge


Sep 10, 2015
Lester Mackey, Jordan Bryan, Man Yue Mo


  Access Paper or Ask Questions