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Model-specific Data Subsampling with Influence Functions

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


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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


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Cross-validation Confidence Intervals for Test Error

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

* 40 pages, 14 figures 

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Stochastic Stein Discrepancies

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


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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 

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Minimax Estimation of Conditional Moment Models

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


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Optimal Thinning of MCMC Output

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


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Weighted Meta-Learning

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

* 18 pages, 7 figures 

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Approximate Cross-validation: Guarantees for Model Assessment and Selection

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

* 8 pages, 3 figures 

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Importance Sampling via Local Sensitivity

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


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Debiasing Linear Prediction

Aug 06, 2019
Nilesh Tripuraneni, Lester Mackey


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A Kernel Stein Test for Comparing Latent Variable Models

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


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Minimum Stein Discrepancy Estimators

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


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Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond

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

* 55 pages 

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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 

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Model Compression with Generative Adversarial Networks

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


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Global Non-convex Optimization with Discretized Diffusions

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

* 39 pages 

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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) 

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

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


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Orthogonal Machine Learning: Power and Limitations

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


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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 

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Stein Points

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


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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


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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 

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Measuring Sample Quality with Diffusions

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


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Measuring Sample Quality with Kernels

Sep 13, 2017
Jackson Gorham, Lester Mackey


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Improving Gibbs Sampler Scan Quality with DoGS

Jul 18, 2017
Ioannis Mitliagkas, Lester Mackey

* ICML 2017 

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Measuring Sample Quality with Stein's Method

Mar 06, 2017
Jackson Gorham, Lester Mackey

* 17 pages, 6 figures 

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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 

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Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge

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


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