Lester W. Mackey

Publication Activity (10 Years)

Years Active: 2006-2019
Publications (10 Years): 19

Top Topics

Markov Chain Monte Carlo

Top Venues

IEEE Trans. Inf. Theory

Publications

Wilson Ye Chen, Alessandro Barp, François-Xavier Briol, Jackson Gorham, Mark A. Girolami, Lester W. Mackey, Chris J. Oates
Stein Point Markov Chain Monte Carlo. ICML (2019)
Alessandro Barp, François-Xavier Briol, Andrew B. Duncan, Mark A. Girolami, Lester W. Mackey
Minimum Stein Discrepancy Estimators. CoRR (2019)
Alessandro Barp, François-Xavier Briol, Andrew B. Duncan, Mark A. Girolami, Lester W. Mackey
Minimum Stein Discrepancy Estimators. NeurIPS (2019)
Wilson Ye Chen, Lester W. Mackey, Jackson Gorham, François-Xavier Briol, Chris J. Oates
Stein Points. CoRR (2018)
Jimmy Wu, Bolei Zhou, Diondra Peck, Scott Hsieh, Vandana Dialani, Lester W. Mackey, Genevieve Patterson
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation. CoRR (2018)
Yash Deshpande, Lester W. Mackey, Vasilis Syrgkanis, Matt Taddy
Accurate Inference for Adaptive Linear Models. ICML (2018)
Jimmy Wu, Diondra Peck, Scott Hsieh, Vandana Dialani, Constance D. Lehman, Bolei Zhou, Vasilis Syrgkanis, Lester W. Mackey, Genevieve Patterson
Expert identification of visual primitives used by CNNs during mammogram classification. Medical Imaging: Computer-Aided Diagnosis (2018)
Ilias Zadik, Lester W. Mackey, Vasilis Syrgkanis
Orthogonal Machine Learning: Power and Limitations. ICML (2018)
Jimmy Wu, Diondra Peck, Scott Hsieh, Vandana Dialani, Constance D. Lehman, Bolei Zhou, Vasilis Syrgkanis, Lester W. Mackey, Genevieve Patterson
Expert identification of visual primitives used by CNNs during mammogram classification. CoRR (2018)
Wilson Ye Chen, Lester W. Mackey, Jackson Gorham, François-Xavier Briol, Chris J. Oates
Stein Points. ICML (2018)
Yash Deshpande, Lester W. Mackey, Vasilis Syrgkanis, Matt Taddy
Accurate Inference for Adaptive Linear Models. CoRR (2017)
Ioannis Mitliagkas, Lester W. Mackey
Improving Gibbs Sampler Scan Quality with DoGS. CoRR (2017)
Jonathan H. Chen, Mary K. Goldstein, Steven M. Asch, Lester W. Mackey, Russ B. Altman
Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets. J. Am. Medical Informatics Assoc. 24 (3) (2017)
Jackson Gorham, Lester W. Mackey
Measuring Sample Quality with Kernels. CoRR (2017)
Ioannis Mitliagkas, Lester W. Mackey
Improving Gibbs Sampler Scan Quality with DoGS. ICML (2017)
Lester W. Mackey, Vasilis Syrgkanis, Ilias Zadik
Orthogonal Machine Learning: Power and Limitations. CoRR (2017)
Jackson Gorham, Lester W. Mackey
Measuring Sample Quality with Kernels. ICML (2017)
Jonathan H. Chen, Mary K. Goldstein, Steven M. Asch, Lester W. Mackey, Russ B. Altman
Automated Organization of Electronic Health Record Data by Probabilistic Topic Modeling to Inform Clinical Decision Making. CRI (2016)
Jack Gorham, Andrew B. Duncan, Sebastian J. Vollmer, Lester W. Mackey
Measuring Sample Quality with Diffusions. CoRR (2016)
Jackson Gorham, Lester W. Mackey
Measuring Sample Quality with Stein's Method. CoRR (2015)
Lester W. Mackey, Ameet Talwalkar, Michael I. Jordan
Distributed matrix completion and robust factorization. J. Mach. Learn. Res. 16 (2015)
Jackson Gorham, Lester W. Mackey
Measuring Sample Quality with Stein's Method. NIPS (2015)
Tamara Broderick, Lester W. Mackey, John W. Paisley, Michael I. Jordan
Combinatorial Clustering and the Beta Negative Binomial Process. IEEE Trans. Pattern Anal. Mach. Intell. 37 (2) (2015)
Lester W. Mackey, Jordan Bryan
Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge. CoRR (2014)
Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song
Joint Link Prediction and Attribute Inference Using a Social-Attribute Network. ACM Trans. Intell. Syst. Technol. 5 (2) (2014)
Lester W. Mackey, Jordan Bryan, Man Yue Mo
Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge. HEPML@NIPS (2014)
Rina Foygel, Lester W. Mackey
Corrupted Sensing: Novel Guarantees for Separating Structured Signals. IEEE Trans. Inf. Theory 60 (2) (2014)
Ameet Talwalkar, Lester W. Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan
Distributed Low-Rank Subspace Segmentation. ICCV (2013)
Rina Foygel, Lester W. Mackey
Corrupted Sensing: Novel Guarantees for Separating Structured Signals CoRR (2013)
Ameet Talwalkar, Lester W. Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan
Divide-and-Conquer Subspace Segmentation CoRR (2013)
John C. Duchi, Lester W. Mackey, Michael I. Jordan
The Asymptotics of Ranking Algorithms CoRR (2012)
Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song
Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN) CoRR (2011)
Lester W. Mackey, Ameet Talwalkar, Michael I. Jordan
Divide-and-Conquer Matrix Factorization CoRR (2011)
Min-Yu Huang, Lester W. Mackey, Soile V. E. Keränen, Gunther H. Weber, Michael I. Jordan, David W. Knowles, Mark D. Biggin, Bernd Hamann
Visually Relating Gene Expression and in vivo DNA Binding Data. BIBM (2011)
Lester W. Mackey, Ameet Talwalkar, Michael I. Jordan
Divide-and-Conquer Matrix Factorization. NIPS (2011)
Lester W. Mackey, David J. Weiss, Michael I. Jordan
Mixed Membership Matrix Factorization. ICML (2010)
John C. Duchi, Lester W. Mackey, Michael I. Jordan
On the Consistency of Ranking Algorithms. ICML (2010)
Joseph Sill, Gábor Takács, Lester W. Mackey, David Lin
Feature-Weighted Linear Stacking CoRR (2009)
Lester W. Mackey
Deflation Methods for Sparse PCA. NIPS (2008)
Frances Perry, Lester W. Mackey, George A. Reis, Jay Ligatti, David I. August, David Walker
Fault-tolerant typed assembly language. PLDI (2007)
David Walker, Lester W. Mackey, Jay Ligatti, George A. Reis, David I. August
Static typing for a faulty lambda calculus. ICFP (2006)
Jordan L. Boyd-Graber, Sonya S. Nikolova, Karyn Moffatt, Kenrick C. Kin, Joshua Y. Lee, Lester W. Mackey, Marilyn Tremaine, Maria M. Klawe
Participatory design with proxies: developing a desktop-PDA system to support people with aphasia. CHI (2006)