Spectral Dependency Parsing with Latent Variables. - Paramveer S. Dhillon; Jordan Rodu; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (EMNLP-CoNLL, 2012)

Using CCA to improve CCA: A new spectral method for estimating vector models of words. - Paramveer S. Dhillon; Jordan Rodu; Dean P. Foster; Lyle H. Ungar (ICML, 2012)

Spectral dimensionality reduction for HMMs - Dean P. Foster; Jordan Rodu; Lyle H. Ungar (CoRR, 2012)

Using Regression for Spectral Estimation of HMMs. - Jordan Rodu; Dean P. Foster; Weichen Wu; Lyle H. Ungar (SLSP, 2013)

Population Vectors Can Provide Near Optimal Integration of Information. - Josue Orellana; Jordan Rodu; Robert E. Kass (Neural Comput., 2017)

Getting in Shape: Word Embedding SubSpaces. - Tianyuan Zhou; João Sedoc; Jordan Rodu (IJCAI, 2019)

Trees in transformers: a theoretical analysis of the Transformer's ability to represent trees. - Qi He; João Sedoc; Jordan Rodu (CoRR, 2021)

The q-q Boxplot. - Jordan Rodu; Karen Kafadar (J. Comput. Graph. Stat., 2022)

Bridging the Usability Gap: Theoretical and Methodological Advances for Spectral Learning of Hidden Markov Models. - Xiaoyuan Ma; Jordan Rodu (CoRR, 2023)

Change Point Detection With Conceptors. - Noah D. Gade; Jordan Rodu (CoRR, 2023)