Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering

May 04, 2020
Jicong Fan, Chengrun Yang, Madeleine Udell


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On the regularity and conditioning of low rank semidefinite programs

Feb 25, 2020
Lijun Ding, Madeleine Udell

* 29 pages, 1 figure, and 1 table 

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Online high rank matrix completion

Feb 20, 2020
Jicong Fan, Madeleine Udell

* The paper was published by the proceedings of IEEE CVPR 2019 

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Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning

Dec 15, 2019
Jicong Fan, Yuqian Zhang, Madeleine Udell

* Accepted by AAAI 2020. The supplementary material is at https://github.com/jicongfan/Supplementary-material-of-conference-papers/blob/master/supp_PMC_AAAI2020.pdf 

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Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery

Nov 18, 2019
Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell

* Accepted by NeurIPS 2019. The supplementary material is at https://github.com/jicongfan/Supplementary-material-of-conference-papers 

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AutoML using Metadata Language Embeddings

Oct 08, 2019
Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell

* NeurIPS Workshop on Meta-Learning, 2019 

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"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations

Jun 04, 2019
Yujia Zhang, Kuangyan Song, Yiming Sun, Sarah Tan, Madeleine Udell


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SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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Low-Rank Tucker Approximation of a Tensor From Streaming Data

Apr 24, 2019
Yiming Sun, Yang Guo, Charlene Luo, Joel Tropp, Madeleine Udell

* 34 pages, 14 figures 

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An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity

Feb 09, 2019
Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell

* 29 pages and 4 figures 

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Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved

Nov 27, 2018
Jiahao Chen, Nathan Kallus, Xiaojie Mao, Geoffry Svacha, Madeleine Udell

* 13 pages, 11 figures, FAT*' 19: Conference on Fairness, Accountability, and Transparency (FAT*' 19), January 29-31, 2019, Atlanta, GA, USA 

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Frank-Wolfe Style Algorithms for Large Scale Optimization

Aug 15, 2018
Lijun Ding, Madeleine Udell

* 28 pages, 5 figures, a chapter of the book "Large-Scale and Distributed Optimization", Springer's Lecture Notes in Mathematics Series, volume 2227, https://www.springer.com/us/book/9783319974774 

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OBOE: Collaborative Filtering for AutoML Initialization

Aug 09, 2018
Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell


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Causal Inference with Noisy and Missing Covariates via Matrix Factorization

Jun 03, 2018
Nathan Kallus, Xiaojie Mao, Madeleine Udell

* 26 pages, 5 figures 

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Why are Big Data Matrices Approximately Low Rank?

May 29, 2018
Madeleine Udell, Alex Townsend


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Practical sketching algorithms for low-rank matrix approximation

Jan 02, 2018
Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

* SIAM J. Matrix Analysis and Applications, Vol. 38, num. 4, pp. 1454-1485, Dec. 2017 

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Dynamic Assortment Personalization in High Dimensions

Sep 29, 2017
Nathan Kallus, Madeleine Udell


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Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data

Jun 18, 2017
Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher


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Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage

Feb 22, 2017
Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher


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Revealed Preference at Scale: Learning Personalized Preferences from Assortment Choices

Jun 07, 2016
Nathan Kallus, Madeleine Udell


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Generalized Low Rank Models

May 05, 2015
Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen Boyd

* 84 pages, 19 figures 

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Convex Optimization in Julia

Oct 17, 2014
Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen Boyd

* To appear in Proceedings of the Workshop on High Performance Technical Computing in Dynamic Languages (HPTCDL) 2014 

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