Elliot Paquette

According to our database, Elliot Paquette authored at least 15 papers between 2010 and 2024.

Collaborative distances:

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

2024

A Clipped Trip: the Dynamics of SGD with Gradient Clipping in High-Dimensions.

Noah Marshall, Ke Liang Xiao, Atish Agarwala, Elliot Paquette

CoRR, 2024

4+3 Phases of Compute-Optimal Neural Scaling Laws.

Elliot Paquette, Courtney Paquette, Lechao Xiao, Jeffrey Pennington

CoRR, 2024

2023

Uniqueness in Nuclear Norm Minimization: Flatness of the Nuclear Norm Sphere and Simultaneous Polarization.

Tim Hoheisel, Elliot Paquette

J. Optim. Theory Appl., April, 2023

Halting Time is Predictable for Large Models: A Universality Property and Average-Case Analysis.

Courtney Paquette, Bart van Merriënboer, Elliot Paquette, Fabian Pedregosa

Found. Comput. Math., April, 2023

Hitting the High-Dimensional Notes: An ODE for SGD learning dynamics on GLMs and multi-index models.

Elizabeth Collins-Woodfin, Courtney Paquette, Elliot Paquette, Inbar Seroussi

CoRR, 2023

Differentially Private Linear Regression with Linked Data.

Shurong Lin, Elliot Paquette, Eric D. Kolaczyk

CoRR, 2023

Fitting an ellipsoid to a quadratic number of random points.

Afonso S. Bandeira, Antoine Maillard, Shahar Mendelson, Elliot Paquette

CoRR, 2023

2022

Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions.

Courtney Paquette, Elliot Paquette, Ben Adlam, Jeffrey Pennington

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions.

Kiwon Lee, Andrew N. Cheng, Elliot Paquette, Courtney Paquette

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models.

Courtney Paquette, Elliot Paquette

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality.

Courtney Paquette, Kiwon Lee, Fabian Pedregosa, Elliot Paquette

Proceedings of the Conference on Learning Theory, 2021

2020

Surjectivity of near-square random matrices.

Hoi H. Nguyen, Elliot Paquette

Comb. Probab. Comput., 2020

Universality for the conjugate gradient and MINRES algorithms on sample covariance matrices.

Elliot Paquette, Thomas Trogdon

CoRR, 2020

2017

The Threshold for Integer Homology in Random d-Complexes.

Christopher Hoffman, Matthew Kahle, Elliot Paquette

Discret. Comput. Geom., 2017

2010

The Trouble with von Koch Curves Built from <i>n</i>gons.

Tamás Keleti, Elliot Paquette

Am. Math. Mon., 2010