Generalization Bounds for Data-Driven Numerical Linear Algebra

16 June 2022

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

9 / 9 papers shown

Title
Offline-to-online hyperparameter transfer for stochastic bandits Dravyansh Sharma Arun Sai Suggala OffRL 25 1 0 06 Jan 2025
Learning accurate and interpretable decision trees Maria-Florina Balcan Dravyansh Sharma 42 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 48 0 0 03 Oct 2023
Learning to Warm-Start Fixed-Point Optimization Algorithms Rajiv Sambharya Georgina Hall Brandon Amos Bartolomeo Stellato 20 12 0 14 Sep 2023
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming Shinsaku Sakaue Taihei Oki 25 0 0 01 Sep 2023
Efficiently Learning the Graph for Semi-supervised Learning Dravyansh Sharma Maxwell Jones 22 3 0 12 Jun 2023
Learning Sparsity and Randomness for Data-driven Low Rank Approximation Tiejin Chen Yicheng Tao 11 0 0 15 Dec 2022
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation Shinsaku Sakaue Taihei Oki 13 3 0 17 Sep 2022
Learning Predictions for Algorithms with Predictions M. Khodak Maria-Florina Balcan Ameet Talwalkar Sergei Vassilvitskii 17 25 0 18 Feb 2022