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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