Udell, Madeleine

34 publications

TMLR 2026 On the (linear) Convergence of Generalized Newton Inexact ADMM Zachary Frangella, Theo Diamandis, Bartolomeo Stellato, Madeleine Udell
TMLR 2025 Enhancing Physics-Informed Neural Networks Through Feature Engineering Shaghayegh Fazliani, Zachary Frangella, Madeleine Udell
COLT 2025 Gradient Methods with Online Scaling Wenzhi Gao, Ya-Chi Chu, Yinyu Ye, Madeleine Udell
ICML 2025 Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent Ya-Chi Chu, Wenzhi Gao, Yinyu Ye, Madeleine Udell
NeurIPS 2025 Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project Pratik Rathore, Zachary Frangella, Sachin Garg, Shaghayegh Fazliani, Michal Derezinski, Madeleine Udell
ICML 2025 Understanding Fixed Predictions via Confined Regions Connor Lawless, Tsui-Wei Weng, Berk Ustun, Madeleine Udell
ICMLW 2024 Certifying Robustness to Adaptive Data Poisoning Avinandan Bose, Madeleine Udell, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham
ICML 2024 Challenges in Training PINNs: A Loss Landscape Perspective Pratik Rathore, Weimu Lei, Zachary Frangella, Lu Lu, Madeleine Udell
ICML 2024 OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models Ali Ahmaditeshnizi, Wenzhi Gao, Madeleine Udell
JMLR 2024 PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates Zachary Frangella, Pratik Rathore, Shipu Zhao, Madeleine Udell
TMLR 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
NeurIPSW 2023 In Defense of Zero Imputation for Tabular Deep Learning Mike Van Ness, Madeleine Udell
ICLR 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
ICML 2022 NysADMM: Faster Composite Convex Optimization via Low-Rank Approximation Shipu Zhao, Zachary Frangella, Madeleine Udell
AAAI 2022 Online Missing Value Imputation and Change Point Detection with the Gaussian Copula Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell
NeurIPS 2022 Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data Yuxuan Zhao, Alex Townsend, Madeleine Udell
NeurIPS 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
ICMLW 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
AISTATS 2021 TenIPS: Inverse Propensity Sampling for Tensor Completion Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
NeurIPSW 2021 CDF Normalization for Controlling the Distribution of Hidden Layer Activations Mike Van Ness, Madeleine Udell
NeurIPS 2021 Can We Globally Optimize Cross-Validation Loss? Quasiconvexity in Ridge Regression Will Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick
NeurIPS 2020 Approximate Cross-Validation with Low-Rank Data in High Dimensions Will Stephenson, Madeleine Udell, Tamara Broderick
NeurIPSW 2020 GalaxyTSP: A New Billion-Node Benchmark for TSP Iddo Drori, Brandon J Kates, William R. Sickinger, Anant Girish Kharkar, Brenda Dietrich, Avi Shporer, Madeleine Udell
NeurIPS 2020 Matrix Completion with Quantified Uncertainty Through Low Rank Gaussian Copula Yuxuan Zhao, Madeleine Udell
ICMLW 2020 Online Mixed Missing Value Imputation Using Gaussian Copula Eric Landgrebe, Yuxuan Zhao, Madeleine Udell
AAAI 2020 Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning Jicong Fan, Yuqian Zhang, Madeleine Udell
NeurIPS 2019 Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
NeurIPS 2018 Causal Inference with Noisy and Missing Covariates via Matrix Factorization Nathan Kallus, Xiaojie Mao, Madeleine Udell
NeurIPS 2018 Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives Song Zhou, Swati Gupta, Madeleine Udell
NeurIPS 2017 Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data Joel A Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
CVPRW 2017 Graph-Regularized Generalized Low-Rank Models Mihir Paradkar, Madeleine Udell
AISTATS 2017 Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher
FnTML 2016 Generalized Low Rank Models Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen P. Boyd
NeurIPS 2016 The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM Damek Davis, Brent Edmunds, Madeleine Udell