Gil Goldshlager

According to our database, Gil Goldshlager authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Fast Convergence Rates for Subsampled Natural Gradient Algorithms on Quadratic Model Problems.

Gil Goldshlager, Jiang Hu, Lin Lin

CoRR, August, 2025

Worth Their Weight: Randomized and Regularized Block Kaczmarz Algorithms without Preprocessing.

Gil Goldshlager, Jiang Hu, Lin Lin

CoRR, February, 2025

Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization.

Andrés Guzmán-Cordero, Felix Dangel, Gil Goldshlager, Marius Zeinhofer

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Convergence of variational Monte Carlo simulation and scale-invariant pre-training.

Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager, Lin Lin

J. Comput. Phys., 2024

Randomized Kaczmarz with tail averaging.

Ethan N. Epperly, Gil Goldshlager, Robert J. Webber

CoRR, 2024

A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions.

Gil Goldshlager, Nilin Abrahamsen, Lin Lin

CoRR, 2024

2023

Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation.

Jeffmin Lin, Gil Goldshlager, Lin Lin

J. Comput. Phys., February, 2023

Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation.

Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager, Lin Lin

CoRR, 2023

2018

Faucet: streaming de novo assembly graph construction.

Roye Rozov, Gil Goldshlager, Eran Halperin, Ron Shamir

Bioinform., 2018