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Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression

Jul 19, 2021
William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick

* 20 pages, 6 figures 

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ControlBurn: Feature Selection by Sparse Forests

Jul 01, 2021
Brian Liu, Miaolan Xie, Madeleine Udell

* 15 pages 

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Privileged Zero-Shot AutoML

Jun 25, 2021
Nikhil Singh, Brandon Kates, Jeff Mentch, Anant Kharkar, Madeleine Udell, Iddo Drori

* 16 pages, 4 figures 

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How Low Can We Go: Trading Memory for Error in Low-Precision Training

Jun 18, 2021
Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell

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Tensor Random Projection for Low Memory Dimension Reduction

Apr 30, 2021
Yiming Sun, Yang Guo, Joel A. Tropp, Madeleine Udell

* In NeurIPS Workshop on Relational Representation Learning (2018) 

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TenIPS: Inverse Propensity Sampling for Tensor Completion

Jan 01, 2021
Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell

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Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization

Dec 07, 2020
Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell

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Impact of Accuracy on Model Interpretations

Nov 17, 2020
Brian Liu, Madeleine Udell

* 7 pages, 5 figures 

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Online Missing Value Imputation and Correlation Change Detection for Mixed-type Data via Gaussian Copula

Sep 25, 2020
Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell

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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 

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

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

* 19 pages, 6 figures 

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$k$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 

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Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula

Jun 18, 2020
Yuxuan Zhao, Madeleine Udell

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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

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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 

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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 

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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 

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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, 

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