Generalization Bounds for Data-Driven Numerical Linear Algebra

16 June 2022

Papers citing "Generalization Bounds for Data-Driven Numerical Linear Algebra"

10 / 10 papers shown

Title
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming Hongyu Cheng Amitabh Basu 4 0 0 16 May 2025
Offline-to-online hyperparameter transfer for stochastic bandits Dravyansh Sharma Arun Sai Suggala OffRL 40 2 0 06 Jan 2025
Learning accurate and interpretable tree-based models Maria-Florina Balcan Dravyansh Sharma 47 7 0 24 May 2024
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances M. Khodak Edmond Chow Maria-Florina Balcan Ameet Talwalkar 53 0 0 03 Oct 2023
Learning to Warm-Start Fixed-Point Optimization Algorithms Rajiv Sambharya Georgina Hall Brandon Amos Bartolomeo Stellato 36 12 0 14 Sep 2023
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming Shinsaku Sakaue Taihei Oki 33 1 0 01 Sep 2023
Efficiently Learning the Graph for Semi-supervised Learning Dravyansh Sharma Maxwell Jones 40 4 0 12 Jun 2023
Learning Sparsity and Randomness for Data-driven Low Rank Approximation Tiejin Chen Yicheng Tao 16 0 0 15 Dec 2022
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation Shinsaku Sakaue Taihei Oki 27 3 0 17 Sep 2022
Learning Predictions for Algorithms with Predictions M. Khodak Maria-Florina Balcan Ameet Talwalkar Sergei Vassilvitskii 21 25 0 18 Feb 2022