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The Spectrum of Nonlinear Random Matrices for Ultra-Wide Neural Networks
Yizhe Zhu (University of California, Irvine)Exact Asymptotics and Universality for Gradient Flows and Empirical Risk Minimizers
Andrea Montanari (Stanford University)Paleo-Detectors - Digging for Dark Matter and Neutrinos
Sebastian Baum Nordita - Nordic Institute for Theoretical Physics
Learning Staircases
Emmanuel Abbe (École polytechnique fédérale de Lausanne), Enric Boix (MIT), Theodor Misiakiewicz (Stanford University)Large Scale Structure Beyond the 2-Point Function
Oliver Philcox Columbia University
Sharp Matrix Concentration
March Boedihardjo (University of California, Irvine)Non-Parametric Convergence Rates for Plain Vanilla Stochastic Gradient Descent
Raphaël Berthier (École polytechnique fédérale de Lausanne)Self-Training Converts Weak Learners to Strong Learners in Mixture Models
Spencer Frei (UC Berkeley)Graphon Neural Networks and the Transferability of Graph Neural Networks
Luiz Chamon (UC Berkeley)Adaptive Wavelet Distillation from DNNs and Dictionary Learning
Bin Yu (UC Berkeley)