Madeleine Udell
23 papers · 2016–2025 · 8 conferences · across top CS/AI conferences
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Interdisciplinary Bridge
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(36)
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(2)
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Topic Evolution
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Triple Crown
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Trend Setter
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Keyword Collector
(77)
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Unstoppable
(7)
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The Questioner
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Prolific Year
(5)
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Century Club
(23)
Conferences
NIPS (10)
ICML (5)
AAAI (2)
AISTATS (2)
COLT (1)
CVPR (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
matrix completion
(6)
convex optimization
(4)
low-rank approximation
(3)
matrix factorization
(3)
gaussian copula
(3)
low-rank matrix
(2)
mixed datum
(2)
online learning
(2)
stochastic gradient
(2)
linear convergence
(2)
stochastic optimization
(2)
missing data imputation
(2)
schatten norm
(2)
nystrΓΆm approximation
(2)
nonconvex optimization
(2)
missing value imputation
(2)
ridge regression
(1)
uncertainty quantification
(1)
model selection
(1)
hyperparameter optimization
(1)
Papers
Gradient Methods with Online Scaling
COLT 2025
Understanding Fixed Predictions via Confined Regions
ICML 2025
Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent
ICML 2025
PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates
JMLR 2024
Challenges in Training PINNs: A Loss Landscape Perspective
ICML 2024
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
ICML 2024
Online Missing Value Imputation and Change Point Detection with the Gaussian Copula
AAAI 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
NIPS 2022
Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data
NIPS 2022
How Low Can We Go: Trading Memory for Error in Low-Precision Training
ICLR 2022
NysADMM: faster composite convex optimization via low-rank approximation
ICML 2022
TenIPS: Inverse Propensity Sampling for Tensor Completion
AISTATS 2021
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
NIPS 2021
Approximate Cross-Validation with Low-Rank Data in High Dimensions
NIPS 2020
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning
AAAI 2020
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula
NIPS 2020
Online High Rank Matrix Completion
CVPR 2019
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
NIPS 2019
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
NIPS 2018
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives
NIPS 2018
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
NIPS 2017
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
AISTATS 2017
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
NIPS 2016