Generalization Bounds for Supervised Dimensionality Reduction. - Mehryar Mohri; Afshin Rostamizadeh; Dmitry Storcheus (FE@NIPS, 2015)

A Survey of Modern Questions and Challenges in Feature Extraction. - Dmitry Storcheus; Afshin Rostamizadeh; Sanjiv Kumar (FE@NIPS, 2015)

Foundations of Coupled Nonlinear Dimensionality Reduction. - Dmitry Storcheus; Mehryar Mohri; Afshin Rostamizadeh (CoRR, 2015)

Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses. - Corinna Cortes; Vitaly Kuznetsov; Mehryar Mohri; Dmitry Storcheus; Scott Yang (NeurIPS, 2018)

The Sparse Recovery Autoencoder. - Shanshan Wu; Alexandros G. Dimakis; Sujay Sanghavi; Felix X. Yu; Daniel Niels Holtmann-Rice; Dmitry Storcheus; Afshin Rostamizadeh; Sanjiv Kumar (CoRR, 2018)

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling. - Shanshan Wu; Alex Dimakis; Sujay Sanghavi; Felix X. Yu; Daniel Niels Holtmann-Rice; Dmitry Storcheus; Afshin Rostamizadeh; Sanjiv Kumar (ICML, 2019)

Regularized Gradient Boosting. - Corinna Cortes; Mehryar Mohri; Dmitry Storcheus (NeurIPS, 2019)

Agnostic Learning with Multiple Objectives. - Corinna Cortes; Mehryar Mohri; Javier Gonzalvo; Dmitry Storcheus (NeurIPS, 2020)

Boosting with Multiple Sources. - Corinna Cortes; Mehryar Mohri; Dmitry Storcheus; Ananda Theertha Suresh (NeurIPS, 2021)

Theory and Algorithms for Several Central Problems in Large-Scale Machine Learning. - Dmitry Storcheus (2021)