MU
Madeleine Udell
cs.LGstat.MLmath.OCcs.AIcs.NAmath.NAstat.MEcs.CLcs.DSstat.CO
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
92 papers in the corpus · 2012–2026Stochastic Gradient Methods with Online Scaling2609.11751v2 · Wanyu Zhang, Wenzhi Gao, Yinyu Ye et al.2026 · 0 citationsarXiv
Operator Splitting Methods with Online Scaling2609.10732v1 · Wanyu Zhang, Wenzhi Gao, Madeleine Udell2026 · 0 citationsarXiv
GPU-Enabled Large-Scale Optimization Using Randomized Linear Algebra2609.08136v1 · Pratik Rathore, Zachary Frangella, Parth Nobel et al.2026 · 0 citationsarXiv
FLARE: Verifying MILP Reformulations with LLM-Based Theorem Proving2608.25220v1 · Henry Robbins, Connor Lawless, Madeleine Udell et al.2026 · 0 citationsarXiv
Twin: Playing an Unknown Game with a Test-Time Digital Twin2608.14490v1 · Alexy Skoutnev, Kirill Acharya, Gaston Longhitano et al.2026 · 0 citationsarXiv
Enhancing Physics-Informed Neural Networks Through Feature Engineering2502.07209v4 · Shaghayegh Fazliani, Zachary Frangella, Madeleine Udell2025 · 0 citationsarXiv
Practical sketching algorithms for low-rank matrix approximation1609.00048v2 · Joel A. Tropp, Alp Yurtsever, Madeleine Udell et al.2016 · 146 citationsSIAM J. Matrix Analysis and Applications, Vol. 38, num. 4, pp. 1454-1485, Dec. 2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data1706.05736v1 · Joel A. Tropp, Alp Yurtsever, Madeleine Udell et al.2017 · 21 citationsarXiv
Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation1902.08651v1 · Joel A. Tropp, Alp Yurtsever, Madeleine Udell et al.2019 · 89 citationsarXiv
SubsurfaceGen: Procedural Generation of Field-Scale Earth Models and Seismic Data2605.30541v1 · Joseph Stitt, Pratik Rathore, Madeleine Udell et al.2026 · 0 citationsarXiv
SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints2602.09317v2 · Ya-Chi Chu, Alkiviades Boukas, Madeleine Udell2026 · 0 citationsarXiv
Algebraic characterization of equivalence between oracle-based iterative algorithms2501.04972v2 · Laurent Lessard, Madeleine Udell2025 · 0 citationsarXiv
New Results on the Polyak Stepsize: Tight Convergence Analysis and Universal Function Classes2512.06231v3 · Chang He, Wenzhi Gao, Bo Jiang et al.2025 · 0 citationsarXiv
GeNIOS: an (almost) second-order operator-splitting solver for large-scale convex optimization2310.08333v2 · Theo Diamandis, Zachary Frangella, Shipu Zhao et al.2023 · 0 citationsarXiv
PDE-SHARP: PDE Solver Hybrids through Analysis and Refinement Passes2511.00183v2 · Shaghayegh Fazliani, Madeleine Udell2025 · 0 citationsarXiv
Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project2505.13723v2 · Pratik Rathore, Zachary Frangella, Sachin Garg et al.2025 · 0 citationsarXiv
Gradient Methods with Online Scaling Part II. Practical Aspects2509.11007v2 · Ya-Chi Chu, Wenzhi Gao, Yinyu Ye et al.2025 · 0 citationsarXiv
LLMs for Cold-Start Cutting Plane Separator Configuration2412.12038v2 · Connor Lawless, Yingxi Li, Anders Wikum et al.2024 · 3 citationsarXiv
Gradient Methods with Online Scaling Part I. Theoretical Foundations2505.23081v2 · Wenzhi Gao, Ya-Chi Chu, Yinyu Ye et al.2025 · 0 citationsarXiv
On the (linear) convergence of Generalized Newton Inexact ADMM2302.03863v3 · Zachary Frangella, Theo Diamandis, Bartolomeo Stellato et al.2023 · 1 citationarXiv
Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent2502.11229v2 · Ya-Chi Chu, Wenzhi Gao, Yinyu Ye et al.2025 · 0 citationsarXiv
dnamite: A Python Package for Neural Additive Models2503.07642v1 · Mike Van Ness, Madeleine Udell2025 · 0 citationsarXiv
Diverse Inference and Verification for Advanced Reasoning2502.09955v1 · Iddo Drori, Gaston Longhitano, Mao Mao et al.2025 · 0 citationsarXiv
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning2501.15941v1 · Jingruo Sun, Zachary Frangella, Madeleine Udell2025 · 0 citationsarXiv
Randomized Nystr\"om Preconditioned Interior Point-Proximal Method of Multipliers2404.14524v2 · Ya-Chi Chu, Luiz-Rafael Santos, Madeleine Udell2024 · 0 citationsarXiv
An automatic system to detect equivalence between iterative algorithms2105.04684v4 · Shipu Zhao, Laurent Lessard, Madeleine Udell2021 · 4 citationsarXiv
When Does Primal Interior Point Method Beat Primal-dual in Linear Optimization?2411.16015v1 · Wenzhi Gao, Huikang Liu, Yinyu Ye et al.2024 · 0 citationsarXiv
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models2411.05923v1 · Mike Van Ness, Billy Block, Madeleine Udell2024 · 0 citationsarXiv
Scalable Approximate Optimal Diagonal Preconditioning2312.15594v2 · Wenzhi Gao, Zhaonan Qu, Madeleine Udell et al.2023 · 0 citationsarXiv
Gradient Methods with Online Scaling2411.01803v2 · Wenzhi Gao, Ya-Chi Chu, Yinyu Ye et al.2024 · 0 citationsarXiv
AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews2408.10365v1 · Keith Tyser, Ben Segev, Gaston Longhitano et al.2024 · 8 citationsarXiv
Challenges in Training PINNs: A Loss Landscape Perspective2402.01868v2 · Pratik Rathore, Weimu Lei, Zachary Frangella et al.2024 · 40 citationsarXiv
Interpretable Prediction and Feature Selection for Survival Analysis2404.14689v1 · Mike Van Ness, Madeleine Udell2024 · 0 citationsarXiv
PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates2309.02014v3 · Zachary Frangella, Pratik Rathore, Shipu Zhao et al.2023 · 0 citationsarXiv
SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates2211.08597v5 · Zachary Frangella, Pratik Rathore, Shipu Zhao et al.2022 · 2 citationsarXiv
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models2402.10172v1 · Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell2024 · 7 citationsarXiv
OptiMUS: Optimization Modeling Using MIP Solvers and large language models2310.06116v2 · Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell2023 · 8 citationsarXiv
The Missing Indicator Method: From Low to High Dimensions2211.09259v2 · Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio et al.2022 · 14 citationsSIGKDD 2023 Proceedings p5004 5015
Interpretable Survival Analysis for Heart Failure Risk Prediction2310.15472v1 · Mike Van Ness, Tomas Bosschieter, Natasha Din et al.2023 · 4 citationsarXiv
Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis2012.03436v5 · Jicong Fan, Lijun Ding, Chengrun Yang et al.2020 · 3 citationsTransactions on Machine Learning Research, January 2023
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams2206.05442v7 · Iddo Drori, Sarah J. Zhang, Reece Shuttleworth et al.2022 · 12 citationsarXiv
Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models2306.08997v2 · Sarah J. Zhang, Samuel Florin, Ariel N. Lee et al.2023 · 18 citationsarXiv
Data-Efficient and Interpretable Tabular Anomaly Detection2203.02034v2 · Chun-Hao Chang, Jinsung Yoon, Sercan Arik et al.2022 · 13 citationsarXiv
Approximate Cross-Validation with Low-Rank Data in High Dimensions2008.10547v2 · William T. Stephenson, Madeleine Udell, Tamara Broderick2020 · 0 citationsAdvances in Neural Information Processing Systems 33 (NeurIPS 2020)
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression2107.09194v2 · William T. Stephenson, Zachary Frangella, Madeleine Udell et al.2021 · 5 citationsarXiv
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets2204.07615v4 · Chengrun Yang, Gabriel Bender, Hanxiao Liu et al.2022 · 2 citationsarXiv
Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data2210.06673v1 · Yuxuan Zhao, Alex Townsend, Madeleine Udell2022 · 4 citationsarXiv
A Strict Complementarity Approach to Error Bound and Sensitivity of Solution of Conic Programs2012.00183v2 · Lijun Ding, Madeleine Udell2020 · 3 citationsarXiv
ControlBurn: Nonlinear Feature Selection with Sparse Tree Ensembles2207.03935v1 · Brian Liu, Miaolan Xie, Haoyue Yang et al.2022 · 0 citationsarXiv
NysADMM: faster composite convex optimization via low-rank approximation2202.11599v2 · Shipu Zhao, Zachary Frangella, Madeleine Udell2022 · 0 citationsarXiv
Career total: 143 works. 92 are in this corpus.Showing the 50 most recent.
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