Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes

4 June 2021

Papers citing "Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes"

10 / 10 papers shown

Title
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory Arjun Subramonian Elvis Dohmatob 24 0 0 14 Apr 2025
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features Simone Bombari Marco Mondelli 31 3 0 05 Feb 2024
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms Elvis Dohmatob M. Scetbon AAML OOD 21 0 0 01 Aug 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels Simone Bombari Shayan Kiyani Marco Mondelli AAML 28 10 0 03 Feb 2023
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond M. Scetbon Elvis Dohmatob AAML 13 3 0 31 Jan 2023
Fast Neural Kernel Embeddings for General Activations Insu Han A. Zandieh Jaehoon Lee Roman Novak Lechao Xiao Amin Karbasi 48 18 0 09 Sep 2022
A law of adversarial risk, interpolation, and label noise Daniel Paleka Amartya Sanyal NoLa AAML 15 9 0 08 Jul 2022
On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes Elvis Dohmatob A. Bietti AAML 21 13 0 22 Mar 2022
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural Networks James B. Simon Madeline Dickens Dhruva Karkada M. DeWeese 42 27 0 08 Oct 2021
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 62 230 0 25 May 2018