Madeleine Udell

According to our database, Madeleine Udell authored at least 79 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

gcimpute: A Package for Missing Data Imputation.

Yuxuan Zhao, Madeleine Udell

J. Stat. Softw., 2024

AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews.

Keith Tyser, Ben Segev, Gaston Longhitano, Xin-Yu Zhang, Zachary Meeks, Jason Lee, Uday Garg, Nicholas Belsten, Avi Shporer, Madeleine Udell, Dov Te'eni, Iddo Drori

CoRR, 2024

OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale.

Ali AhmadiTeshnizi, Wenzhi Gao, Herman Brunborg, Shayan Talaei, Madeleine Udell

CoRR, 2024

Have ASkotch: Fast Methods for Large-scale, Memory-constrained Kernel Ridge Regression.

Pratik Rathore, Zachary Frangella, Madeleine Udell

CoRR, 2024

Interpretable Prediction and Feature Selection for Survival Analysis.

Mike Van Ness, Madeleine Udell

CoRR, 2024

Challenges in Training PINNs: A Loss Landscape Perspective.

Pratik Rathore, Weimu Lei, Zachary Frangella, Lu Lu, Madeleine Udell

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models.

Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A strict complementarity approach to error bound and sensitivity of solution of conic programs.

Lijun Ding, Madeleine Udell

Optim. Lett., September, 2023

Randomized Nyström Preconditioning.

Zachary Frangella, Joel A. Tropp, Madeleine Udell

SIAM J. Matrix Anal. Appl., June, 2023

Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis.

Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell

Trans. Mach. Learn. Res., 2023

Scalable Approximate Optimal Diagonal Preconditioning.

Wenzhi Gao, Zhaonan Qu, Madeleine Udell, Yinyu Ye

CoRR, 2023

OptiMUS: Optimization Modeling Using MIP Solvers and large language models.

Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell

CoRR, 2023

PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates.

Zachary Frangella, Pratik Rathore, Shipu Zhao, Madeleine Udell

CoRR, 2023

Interpretable Survival Analysis for Heart Failure Risk Prediction.

Mike Van Ness, Tomas M. Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell

Proceedings of the Machine Learning for Health, 2023

The Missing Indicator Method: From Low to High Dimensions.

Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams.

Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Data-Efficient and Interpretable Tabular Anomaly Detection.

Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

SketchySGD: Reliable Stochastic Optimization via Robust Curvature Estimates.

Zachary Frangella, Pratik Rathore, Shipu Zhao, Madeleine Udell

CoRR, 2022

ControlBurn: Nonlinear Feature Selection with Sparse Tree Ensembles.

Brian Liu, Miaolan Xie, Haoyue Yang, Madeleine Udell

CoRR, 2022

Resource-Constrained Neural Architecture Search on Tabular Datasets.

Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang

CoRR, 2022

Towards Group Robustness in the presence of Partial Group Labels.

Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister

CoRR, 2022

Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data.

Yuxuan Zhao, Alex Townsend, Madeleine Udell

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets.

Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NysADMM: faster composite convex optimization via low-rank approximation.

Shipu Zhao, Zachary Frangella, Madeleine Udell

Proceedings of the International Conference on Machine Learning, 2022

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

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Online Missing Value Imputation and Change Point Detection with the Gaussian Copula.

Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Jicong Fan, Chengrun Yang, Madeleine Udell

IEEE Trans. Signal Process., 2021

Scalable Semidefinite Programming.

Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher

SIAM J. Math. Data Sci., 2021

Randomized Sketching Algorithms for Low-Memory Dynamic Optimization.

Ramchandran Muthukumar, Drew P. Kouri, Madeleine Udell

SIAM J. Optim., 2021

An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity.

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

SIAM J. Optim., 2021

On the Simplicity and Conditioning of Low Rank Semidefinite Programs.

Lijun Ding, Madeleine Udell

SIAM J. Optim., 2021

Privileged Zero-Shot AutoML.

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

CoRR, 2021

Tensor Random Projection for Low Memory Dimension Reduction.

Yiming Sun, Yang Guo, Joel A. Tropp, Madeleine Udell

CoRR, 2021

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

William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ControlBurn: Feature Selection by Sparse Forests.

Brian Liu, Miaolan Xie, Madeleine Udell

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

CDF Normalization for Controlling the Distribution of Hidden Nodes.

Mike Van Ness, Madeleine Udell

Proceedings of the I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 2021

TenIPS: Inverse Propensity Sampling for Tensor Completion.

Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Low-Rank Tucker Approximation of a Tensor from Streaming Data.

Yiming Sun, Yang Guo, Charlene Luo, Joel A. Tropp, Madeleine Udell

SIAM J. Math. Data Sci., 2020

Dynamic Assortment Personalization in High Dimensions.

Nathan Kallus, Madeleine Udell

Oper. Res., 2020

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

Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell

CoRR, 2020

Impact of Accuracy on Model Interpretations.

Brian Liu, Madeleine Udell

CoRR, 2020

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

Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell

CoRR, 2020

An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction.

Elizabeth A. Ricci, Madeleine Udell, Ross A. Knepper

CoRR, 2020

kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles.

Lijun Ding, Jicong Fan, Madeleine Udell

CoRR, 2020

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization.

Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell

CoRR, 2020

On the regularity and conditioning of low rank semidefinite programs.

Lijun Ding, Madeleine Udell

CoRR, 2020

Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula.

Yuxuan Zhao, Madeleine Udell

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

William T. Stephenson, Madeleine Udell, Tamara Broderick

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Missing Value Imputation for Mixed Data via Gaussian Copula.

Yuxuan Zhao, Madeleine Udell

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space.

Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

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

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning.

Jicong Fan, Yuqian Zhang, Madeleine Udell

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Why Are Big Data Matrices Approximately Low Rank?

Madeleine Udell, Alex Townsend

SIAM J. Math. Data Sci., 2019

Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation.

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

SIAM J. Sci. Comput., 2019

Optimal Design of Efficient Rooftop Photovoltaic Arrays.

Madeleine Udell, Oliver Toole

INFORMS J. Appl. Anal., 2019

AutoML using Metadata Language Embeddings.

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

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. 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 M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar

CoRR, 2019

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

Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

OBOE: Collaborative Filtering for AutoML Model Selection.

Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved.

Jiahao Chen, Nathan Kallus, Xiaojie Mao, Geoffry Svacha, Madeleine Udell

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Online High Rank Matrix Completion.

Jicong Fan, Madeleine Udell

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

OBOE: Collaborative Filtering for AutoML Initialization.

Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell

CoRR, 2018

Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives.

Song Zhou, Swati Gupta, Madeleine Udell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Causal Inference with Noisy and Missing Covariates via Matrix Factorization.

Nathan Kallus, Xiaojie Mao, Madeleine Udell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Practical Sketching Algorithms for Low-Rank Matrix Approximation.

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

SIAM J. Matrix Anal. Appl., 2017

Nice latent variable models have log-rank.

Madeleine Udell, Alex Townsend

CoRR, 2017

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

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Graph-Regularized Generalized Low-Rank Models.

Mihir Paradkar, Madeleine Udell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

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

Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Generalized Low Rank Models.

Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen P. Boyd

Found. Trends Mach. Learn., 2016

Randomized single-view algorithms for low-rank matrix approximation.

Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher

CoRR, 2016

Bounding duality gap for separable problems with linear constraints.

Madeleine Udell, Stephen P. Boyd

Comput. Optim. Appl., 2016

Revealed Preference at Scale: Learning Personalized Preferences from Assortment Choices.

Nathan Kallus, Madeleine Udell

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Discovering Patient Phenotypes Using Generalized Low Rank Models.

Alejandro Schuler, Vincent X. Liu, Joe Wan, Alison Callahan, Madeleine Udell, David E. Stark, Nigam H. Shah

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM.

Damek Davis, Brent Edmunds, Madeleine Udell

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Learning Preferences from Assortment Choices in a Heterogeneous Population.

Nathan Kallus, Madeleine Udell

CoRR, 2015

Factorization for analog-to-digital matrix multiplication.

Edward H. Lee, Madeleine Udell, S. Simon Wong

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Revenue Maximization for Broadband Service Providers Using Revenue Capacity.

Haleema Mehmood, Madeleine Udell, John M. Cioffi

Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014

Convex optimization in Julia.

Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen P. Boyd

Proceedings of the 1st First Workshop for High Performance Technical Computing in Dynamic Languages, 2014