An Application of Topological Data Analysis to Hockey Analytics. - Daniel Goldfarb (CoRR, 2014)

Understanding Deep Neural Networks Using Topological Data Analysis. - Daniel Goldfarb (CoRR, 2018)

Growth Mindset Predicts Student Achievement and Behavior in Mobile Learning. - René F. Kizilcec; Daniel Goldfarb (L@S, 2019)

Causal Inference via Conditional Kolmogorov Complexity using MDL Binning. - Daniel Goldfarb; Scott Evans (CoRR, 2019)

Causal Inference via Conditional Kolmogorov Complexity. - Daniel Goldfarb; Scott Evans (ICDM, 2020)

Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime. - Daniel Goldfarb; Paul Hand (AISTATS, 2023)

The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. - Daniel Goldfarb; Itay Evron; Nir Weinberger; Daniel Soudry; Paul Hand (ICLR, 2024)

Analysis of Overparameterization in Continual Learning under a Linear Model. - Daniel Goldfarb; Paul Hand (CoRR, 2025)