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

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction

Sep 02, 2020
Elizabeth A. Ricci, Madeleine Udell, Ross A. Knepper

* 8 pages, 4 figures 

  Access Paper or Ask Questions

Approximate Cross-Validation with Low-Rank Data in High Dimensions

Aug 24, 2020
William T. Stephenson, Madeleine Udell, Tamara Broderick

* 19 pages, 6 figures 

  Access Paper or Ask Questions

$k$FW: A Frank-Wolfe style algorithm with stronger subproblem oracles

Jun 29, 2020
Lijun Ding, Jicong Fan, Madeleine Udell

* 12 pages main text, 4 figures 

  Access Paper or Ask Questions

Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula

Jun 18, 2020
Yuxuan Zhao, Madeleine Udell


  Access Paper or Ask Questions

Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time

Jun 12, 2020
Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell


  Access Paper or Ask Questions

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization

Jun 07, 2020
Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell

* This is an extended version of AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space (DOI: 10.1145/3394486.3403197) at KDD 2020 

  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

On the regularity and conditioning of low rank semidefinite programs

Feb 25, 2020
Lijun Ding, Madeleine Udell

* 29 pages, 1 figure, and 1 table 

  Access Paper or Ask Questions

Online high rank matrix completion

Feb 20, 2020
Jicong Fan, Madeleine Udell

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

OBOE: Collaborative Filtering for AutoML Initialization

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


  Access Paper or Ask Questions

Causal Inference with Noisy and Missing Covariates via Matrix Factorization

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

* 26 pages, 5 figures 

  Access Paper or Ask Questions

Why are Big Data Matrices Approximately Low Rank?

May 29, 2018
Madeleine Udell, Alex Townsend


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Dynamic Assortment Personalization in High Dimensions

Sep 29, 2017
Nathan Kallus, Madeleine Udell


  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

Revealed Preference at Scale: Learning Personalized Preferences from Assortment Choices

Jun 07, 2016
Nathan Kallus, Madeleine Udell


  Access Paper or Ask Questions

Generalized Low Rank Models

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

* 84 pages, 19 figures 

  Access Paper or Ask Questions