41 citations · 186 across the 18 of their papers we have counts for
18 papers
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks
Erdong Guo, David Draper, Maria De Iorio
Model calibration, which is concerned with how frequently the model predicts correctly, not only plays a vital part in statistical model design, but also has substantial practical…
Discussion of Martingale Posterior Distributions by E. Fong, C. Holmes, and S. G. Walker
David Draper, Erdong Guo
In this discussion note, we respond to the fascinating paper "Martingale Posterior Distributions" by E. Fong, C. Holmes, and S. G. Walker with a couple of comments. On the basis of…
Neural Tangent Kernel of Matrix Product States: Convergence and Applications
Erdong Guo, David Draper
In this work, we study the Neural Tangent Kernel (NTK) of Matrix Product States (MPS) and the convergence of its NTK in the infinite bond dimensional limit. We prove that the NTK o…
A Simple Necessary Condition For Independence of Real-Valued Random Variables
David Draper, Erdong Guo, Robert Lund +1
The standard method to check for the independence of two real-valued random variables -- demonstrating that the bivariate joint distribution factors into the product of its margina…
The Practical Scope of the Central Limit Theorem
David Draper, Erdong Guo
The \textit{Central Limit Theorem (CLT)} is at the heart of a great deal of applied problem-solving in statistics and data science, but the theorem is silent on an important implem…
Representation Theorem for Matrix Product States
Erdong Guo, David Draper
In this work, we investigate the universal representation capacity of the Matrix Product States (MPS) from the perspective of boolean functions and continuous functions. We show th…