Oleg Balabanov

20 papers A* 2Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Discover Iterative Spectral Algorithms. CoRR Zihang Liu, Oleg Balabanov, Yaoqing Yang, Michael W. Mahoney
2026	J	`jnl`	PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training. CoRR Shenghao Yang, Zhichao Wang, Oleg Balabanov, N. Benjamin Erichson, Michael W. Mahoney
2025	J	`jnl`	CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT). SIAM J. Matrix Anal. Appl. Maksim Melnichenko, Oleg Balabanov, Riley Murray, James Demmel, Michael W. Mahoney, Piotr Luszczek
2025	A*	`conf`	LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. ICML Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu
2025	J	`jnl`	LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. CoRR Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu
2025	J	`jnl`	Preconditioning via Randomized Range Deflation (RandRAND). CoRR Oleg Balabanov, Caleb Ju, Kaiwen He, Aryaman Jeendgar, Michael W. Mahoney
2025	J	`jnl`	Randomized Block Gram-Schmidt Process for the Solution of Linear Systems and Eigenvalue Problems. SIAM J. Sci. Comput. Oleg Balabanov, Laura Grigori
2023	A*	`conf`	Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures. ICML Oleg Balabanov, Matthias Beaupère, Laura Grigori, Victor Lederer
2023	J	`jnl`	CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT). CoRR Maksim Melnichenko, Oleg Balabanov, Riley Murray, James Demmel, Michael W. Mahoney, Piotr Luszczek
2023	J	`jnl`	Randomized Orthogonal Projection Methods for Krylov Subspace Solvers. CoRR Edouard Timsit, Laura Grigori, Oleg Balabanov
2022	J	`jnl`	Block subsampled randomized Hadamard transform for low-rank approximation on distributed architectures. CoRR Oleg Balabanov, Matthias Beaupère, Laura Grigori, Victor Lederer
2022	J	`jnl`	Randomized Cholesky QR factorizations. CoRR Oleg Balabanov
2022	J	`jnl`	Randomized Gram-Schmidt Process with Application to GMRES. SIAM J. Sci. Comput. Oleg Balabanov, Laura Grigori
2021	J	`jnl`	Preconditioners for model order reduction by interpolation and random sketching of operators. CoRR Oleg Balabanov, Anthony Nouy
2021	J	`jnl`	Randomized block Gram-Schmidt process for solution of linear systems and eigenvalue problems. CoRR Oleg Balabanov, Laura Grigori
2021	J	`jnl`	Randomized linear algebra for model reduction - part II: minimal residual methods and dictionary-based approximation. Adv. Comput. Math. Oleg Balabanov, Anthony Nouy
2020	J	`jnl`	Randomized Gram-Schmidt process with application to GMRES. CoRR Oleg Balabanov, Laura Grigori
2019	—	`—`	Randomized linear algebra for model order reduction. (Algèbre linéaire randomisée pour la réduction de l'ordre des modèles). Oleg Balabanov
2019	J	`jnl`	Randomized linear algebra for model reduction. Part I: Galerkin methods and error estimation. Adv. Comput. Math. Oleg Balabanov, Anthony Nouy
2019	J	`jnl`	Randomized linear algebra for model reduction. Part II: minimal residual methods and dictionary-based approximation. CoRR Oleg Balabanov, Anthony Nouy