Madeleine Udell

130 papers A* 26A 2B 1C 1Misc 2Journal 88Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the (linear) convergence of Generalized Newton Inexact ADMM. Trans. Mach. Learn. Res. Zachary Frangella, Theo Diamandis, Bartolomeo Stellato, Madeleine Udell
2026	J	`jnl`	Randomized Nyström Preconditioned Interior Point-Proximal Method of Multipliers. SIAM J. Sci. Comput. Ya-Chi Chu, Luiz-Rafael Santos, Madeleine Udell
2026	J	`jnl`	Small Gradient Norm Regret for Online Convex Optimization. CoRR Wenzhi Gao, Chang He, Madeleine Udell
2026	J	`jnl`	SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints. CoRR Ya-Chi Chu, Alkiviades Boukas, Madeleine Udell
2025	J	`jnl`	"It Was a Magical Box": Understanding Practitioner Workflows and Needs in Optimization. CoRR Connor Lawless, Jakob Schoeffer, Madeleine Udell
2025	J	`jnl`	Diverse Inference and Verification for Advanced Reasoning. CoRR Iddo Drori, Gaston Longhitano, Mao Mao, Seunghwan Hyun, Yuke Zhang, Sungjun Park, Zachary Meeks, Xin-Yu Zhang, Ben Segev, Howard Yong, Nakul Verma, Avi Shporer, Alon Amit, Madeleine Udell
2025	J	`jnl`	Enhancing Physics-Informed Neural Networks Through Feature Engineering. CoRR Shaghayegh Fazliani, Zachary Frangella, Madeleine Udell
2025	J	`jnl`	Enhancing Physics-Informed Neural Networks Through Feature Engineering. Trans. Mach. Learn. Res. Shaghayegh Fazliani, Zachary Frangella, Madeleine Udell
2025	J	`jnl`	Gradient Methods with Online Scaling Part I. Theoretical Foundations. CoRR Wenzhi Gao, Ya-Chi Chu, Yinyu Ye, Madeleine Udell
2025	J	`jnl`	Gradient Methods with Online Scaling Part II. Practical Aspects. CoRR Ya-Chi Chu, Wenzhi Gao, Yinyu Ye, Madeleine Udell
2025	A*	`conf`	Gradient Methods with Online Scaling. COLT Wenzhi Gao, Ya-Chi Chu, Yinyu Ye, Madeleine Udell
2025	—	`conf`	Interpretable Prediction and Feature Selection for Survival Analysis. KDD (1) Mike Van Ness, Madeleine Udell
2025	—	`conf`	LLMs for Cold-Start Cutting Plane Separator Configuration. CPAIOR (2) Connor Lawless, Yingxi Li, Anders Wikum, Madeleine Udell, Ellen Vitercik
2025	J	`jnl`	PDE-SHARP: PDE Solver Hybrids through Analysis and Refinement Passes. CoRR Shaghayegh Fazliani, Madeleine Udell
2025	A*	`conf`	Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent. ICML Ya-Chi Chu, Wenzhi Gao, Yinyu Ye, Madeleine Udell
2025	J	`jnl`	Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent. CoRR Ya-Chi Chu, Wenzhi Gao, Yinyu Ye, Madeleine Udell
2025	J	`jnl`	SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning. CoRR Jingruo Sun, Zachary Frangella, Madeleine Udell
2025	J	`jnl`	Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project. CoRR Pratik Rathore, Zachary Frangella, Sachin Garg, Shaghayegh Fazliani, Michal Derezinski, Madeleine Udell
2025	A*	`conf`	Understanding Fixed Predictions via Confined Regions. ICML Connor Lawless, Tsui-Wei Weng, Berk Ustun, Madeleine Udell
2025	J	`jnl`	Understanding Fixed Predictions via Confined Regions. CoRR Connor Lawless, Tsui-Wei Weng, Berk Ustun, Madeleine Udell
2025	J	`jnl`	dnamite: A Python Package for Neural Additive Models. CoRR Mike Van Ness, Madeleine Udell
2024	J	`jnl`	AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews. CoRR 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
2024	A*	`conf`	Challenges in Training PINNs: A Loss Landscape Perspective. ICML Pratik Rathore, Weimu Lei, Zachary Frangella, Lu Lu, Madeleine Udell
2024	J	`jnl`	Challenges in Training PINNs: A Loss Landscape Perspective. CoRR Pratik Rathore, Weimu Lei, Zachary Frangella, Lu Lu, Madeleine Udell
2024	—	`conf`	DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models. ML4H@NeurIPS Mike Van Ness, Billy Block, Madeleine Udell
2024	J	`jnl`	DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models. CoRR Mike Van Ness, Billy Block, Madeleine Udell
2024	J	`jnl`	Gradient Methods with Online Scaling. CoRR Wenzhi Gao, Ya-Chi Chu, Yinyu Ye, Madeleine Udell
2024	J	`jnl`	Have ASkotch: Fast Methods for Large-scale, Memory-constrained Kernel Ridge Regression. CoRR Pratik Rathore, Zachary Frangella, Madeleine Udell
2024	J	`jnl`	Interpretable Prediction and Feature Selection for Survival Analysis. CoRR Mike Van Ness, Madeleine Udell
2024	J	`jnl`	LLMs for Cold-Start Cutting Plane Separator Configuration. CoRR Connor Lawless, Yingxi Li, Anders Wikum, Madeleine Udell, Ellen Vitercik
2024	J	`jnl`	OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale. CoRR Ali AhmadiTeshnizi, Wenzhi Gao, Herman Brunborg, Shayan Talaei, Madeleine Udell
2024	A*	`conf`	OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models. ICML Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell
2024	J	`jnl`	OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models. CoRR Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell
2024	J	`jnl`	PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates. J. Mach. Learn. Res. Zachary Frangella, Pratik Rathore, Shipu Zhao, Madeleine Udell
2024	J	`jnl`	SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates. SIAM J. Math. Data Sci. Zachary Frangella, Pratik Rathore, Shipu Zhao, Madeleine Udell
2024	J	`jnl`	gcimpute: A Package for Missing Data Imputation. J. Stat. Softw. Yuxuan Zhao, Madeleine Udell
2023	J	`jnl`	A strict complementarity approach to error bound and sensitivity of solution of conic programs. Optim. Lett. Lijun Ding, Madeleine Udell
2023	A*	`conf`	Data-Efficient and Interpretable Tabular Anomaly Detection. KDD Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2023	J	`jnl`	Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis. Trans. Mach. Learn. Res. Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell
2023	A*	`conf`	From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. KDD 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
2023	—	`conf`	Interpretable Survival Analysis for Heart Failure Risk Prediction. ML4H@NeurIPS Mike Van Ness, Tomas M. Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell
2023	J	`jnl`	Interpretable Survival Analysis for Heart Failure Risk Prediction. CoRR Mike Van Ness, Tomas M. Bosschieter, Natasha Din, Andrew Ambrosy, Alexander Sandhu, Madeleine Udell
2023	J	`jnl`	OptiMUS: Optimization Modeling Using MIP Solvers and large language models. CoRR Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell
2023	J	`jnl`	PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates. CoRR Zachary Frangella, Pratik Rathore, Shipu Zhao, Madeleine Udell
2023	J	`jnl`	Randomized Nyström Preconditioning. SIAM J. Matrix Anal. Appl. Zachary Frangella, Joel A. Tropp, Madeleine Udell
2023	J	`jnl`	Scalable Approximate Optimal Diagonal Preconditioning. CoRR Wenzhi Gao, Zhaonan Qu, Madeleine Udell, Yinyu Ye
2023	A*	`conf`	The Missing Indicator Method: From Low to High Dimensions. KDD Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell
2022	J	`jnl`	ControlBurn: Nonlinear Feature Selection with Sparse Tree Ensembles. CoRR Brian Liu, Miaolan Xie, Haoyue Yang, Madeleine Udell
2022	J	`jnl`	Data-Efficient and Interpretable Tabular Anomaly Detection. CoRR Chun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister
2022	A*	`conf`	How Low Can We Go: Trading Memory for Error in Low-Precision Training. ICLR Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell
2022	A*	`conf`	NysADMM: faster composite convex optimization via low-rank approximation. ICML Shipu Zhao, Zachary Frangella, Madeleine Udell
2022	A*	`conf`	Online Missing Value Imputation and Change Point Detection with the Gaussian Copula. AAAI Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell
2022	A*	`conf`	Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data. NeurIPS Yuxuan Zhao, Alex Townsend, Madeleine Udell
2022	J	`jnl`	Resource-Constrained Neural Architecture Search on Tabular Datasets. CoRR Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
2022	J	`jnl`	SketchySGD: Reliable Stochastic Optimization via Robust Curvature Estimates. CoRR Zachary Frangella, Pratik Rathore, Shipu Zhao, Madeleine Udell
2022	A*	`conf`	TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets. NeurIPS Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
2022	J	`jnl`	The Missing Indicator Method: From Low to High Dimensions. CoRR Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell
2022	J	`jnl`	Towards Group Robustness in the presence of Partial Group Labels. CoRR Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister
2021	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM J. Optim. Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2021	—	`conf`	CDF Normalization for Controlling the Distribution of Hidden Nodes. ICBINB@NeurIPS Mike Van Ness, Madeleine Udell
2021	A*	`conf`	Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression. NeurIPS William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick
2021	J	`jnl`	Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression. CoRR William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick
2021	A*	`conf`	ControlBurn: Feature Selection by Sparse Forests. KDD Brian Liu, Miaolan Xie, Madeleine Udell
2021	J	`jnl`	ControlBurn: Feature Selection by Sparse Forests. CoRR Brian Liu, Miaolan Xie, Madeleine Udell
2021	J	`jnl`	How Low Can We Go: Trading Memory for Error in Low-Precision Training. CoRR Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell
2021	J	`jnl`	On the Simplicity and Conditioning of Low Rank Semidefinite Programs. SIAM J. Optim. Lijun Ding, Madeleine Udell
2021	J	`jnl`	Privileged Zero-Shot AutoML. CoRR Nikhil Singh, Brandon Kates, Jeff Mentch, Anant Kharkar, Madeleine Udell, Iddo Drori
2021	J	`jnl`	Randomized Nyström Preconditioning. CoRR Zachary Frangella, Joel A. Tropp, Madeleine Udell
2021	J	`jnl`	Randomized Sketching Algorithms for Low-Memory Dynamic Optimization. SIAM J. Optim. Ramchandran Muthukumar, Drew P. Kouri, Madeleine Udell
2021	J	`jnl`	Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering. IEEE Trans. Signal Process. Jicong Fan, Chengrun Yang, Madeleine Udell
2021	J	`jnl`	Scalable Semidefinite Programming. SIAM J. Math. Data Sci. Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher
2021	A	`conf`	TenIPS: Inverse Propensity Sampling for Tensor Completion. AISTATS Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
2021	J	`jnl`	TenIPS: Inverse Propensity Sampling for Tensor Completion. CoRR Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
2021	J	`jnl`	Tensor Random Projection for Low Memory Dimension Reduction. CoRR Yiming Sun, Yang Guo, Joel A. Tropp, Madeleine Udell
2020	J	`jnl`	An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction. CoRR Elizabeth A. Ricci, Madeleine Udell, Ross A. Knepper
2020	A*	`conf`	Approximate Cross-Validation with Low-Rank Data in High Dimensions. NeurIPS William T. Stephenson, Madeleine Udell, Tamara Broderick
2020	J	`jnl`	Approximate Cross-Validation with Low-Rank Data in High Dimensions. CoRR William T. Stephenson, Madeleine Udell, Tamara Broderick
2020	A*	`conf`	AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space. KDD Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell
2020	J	`jnl`	Dynamic Assortment Personalization in High Dimensions. Oper. Res. Nathan Kallus, Madeleine Udell
2020	J	`jnl`	Efficient AutoML Pipeline Search with Matrix and Tensor Factorization. CoRR Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell
2020	J	`jnl`	Impact of Accuracy on Model Interpretations. CoRR Brian Liu, Madeleine Udell
2020	C	`conf`	Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. ICMLA Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell
2020	J	`jnl`	Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. CoRR Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell
2020	J	`jnl`	Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization. CoRR Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell
2020	J	`jnl`	Low-Rank Tucker Approximation of a Tensor from Streaming Data. SIAM J. Math. Data Sci. Yiming Sun, Yang Guo, Charlene Luo, Joel A. Tropp, Madeleine Udell
2020	A*	`conf`	Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula. NeurIPS Yuxuan Zhao, Madeleine Udell
2020	J	`jnl`	Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula. CoRR Yuxuan Zhao, Madeleine Udell
2020	A*	`conf`	Missing Value Imputation for Mixed Data via Gaussian Copula. KDD Yuxuan Zhao, Madeleine Udell
2020	J	`jnl`	On the regularity and conditioning of low rank semidefinite programs. CoRR Lijun Ding, Madeleine Udell
2020	J	`jnl`	Online Missing Value Imputation and Correlation Change Detection for Mixed-type Data via Gaussian Copula. CoRR Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell
2020	J	`jnl`	Online high rank matrix completion. CoRR Jicong Fan, Madeleine Udell
2020	A*	`conf`	Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. AAAI Jicong Fan, Yuqian Zhang, Madeleine Udell
2020	J	`jnl`	Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering. CoRR Jicong Fan, Chengrun Yang, Madeleine Udell
2020	J	`jnl`	kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles. CoRR Lijun Ding, Jicong Fan, Madeleine Udell
2019	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. CoRR Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2019	J	`jnl`	AutoML using Metadata Language Embeddings. CoRR Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell
2019	A*	`conf`	Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. NeurIPS Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
2019	J	`jnl`	Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. CoRR Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
2019	—	`conf`	Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved. FAT Jiahao Chen, Nathan Kallus, Xiaojie Mao, Geoffry Svacha, Madeleine Udell
2019	J	`jnl`	Low-Rank Tucker Approximation of a Tensor From Streaming Data. CoRR Yiming Sun, Yang Guo, Charlene Luo, Joel A. Tropp, Madeleine Udell
2019	A*	`conf`	OBOE: Collaborative Filtering for AutoML Model Selection. KDD Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell
2019	A*	`conf`	Online High Rank Matrix Completion. CVPR Jicong Fan, Madeleine Udell
2019	J	`jnl`	Optimal Design of Efficient Rooftop Photovoltaic Arrays. INFORMS J. Appl. Anal. Madeleine Udell, Oliver Toole
2019	J	`jnl`	Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. CoRR Jicong Fan, Yuqian Zhang, Madeleine Udell
2019	J	`jnl`	Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2019	J	`jnl`	Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. SIAM J. Sci. Comput. Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR 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 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
2019	J	`jnl`	Why Are Big Data Matrices Approximately Low Rank? SIAM J. Math. Data Sci. Madeleine Udell, Alex Townsend
2018	A*	`conf`	Causal Inference with Noisy and Missing Covariates via Matrix Factorization. NeurIPS Nathan Kallus, Xiaojie Mao, Madeleine Udell
2018	J	`jnl`	Causal Inference with Noisy and Missing Covariates via Matrix Factorization. CoRR Nathan Kallus, Xiaojie Mao, Madeleine Udell
2018	A*	`conf`	Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives. NeurIPS Song Zhou, Swati Gupta, Madeleine Udell
2018	J	`jnl`	OBOE: Collaborative Filtering for AutoML Initialization. CoRR Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell
2017	—	`conf`	Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. NIPS Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	J	`jnl`	Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	—	`conf`	Graph-Regularized Generalized Low-Rank Models. CVPR Workshops Mihir Paradkar, Madeleine Udell
2017	J	`jnl`	Nice latent variable models have log-rank. CoRR Madeleine Udell, Alex Townsend
2017	J	`jnl`	Practical Sketching Algorithms for Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	A	`conf`	Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. AISTATS Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher
2016	J	`jnl`	Bounding duality gap for separable problems with linear constraints. Comput. Optim. Appl. Madeleine Udell, Stephen P. Boyd
2016	Misc	`conf`	Discovering Patient Phenotypes Using Generalized Low Rank Models. PSB Alejandro Schuler, Vincent X. Liu, Joe Wan, Alison Callahan, Madeleine Udell, David E. Stark, Nigam H. Shah
2016	J	`jnl`	Generalized Low Rank Models. Found. Trends Mach. Learn. Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen P. Boyd
2016	J	`jnl`	Randomized single-view algorithms for low-rank matrix approximation. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2016	A*	`conf`	Revealed Preference at Scale: Learning Personalized Preferences from Assortment Choices. EC Nathan Kallus, Madeleine Udell
2016	—	`conf`	The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM. NIPS Damek Davis, Brent Edmunds, Madeleine Udell
2015	Misc	`conf`	Factorization for analog-to-digital matrix multiplication. ICASSP Edward H. Lee, Madeleine Udell, S. Simon Wong
2015	J	`jnl`	Learning Preferences from Assortment Choices in a Heterogeneous Population. CoRR Nathan Kallus, Madeleine Udell
2015	B	`conf`	Revenue Maximization for Broadband Service Providers Using Revenue Capacity. GLOBECOM Haleema Mehmood, Madeleine Udell, John M. Cioffi
2014	J	`jnl`	Convex Optimization in Julia. CoRR Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen P. Boyd
2014	—	`conf`	Convex optimization in Julia. HPTCDL@SC Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen P. Boyd
2014	J	`jnl`	Generalized Low Rank Models. CoRR Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen P. Boyd