Wireless index coding through rank minimization. - Jonathan I. Tamir; Ethan R. Elenberg; Anurag Banerjee; Sriram Vishwanath (ICC, 2014)

Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs. - Ethan R. Elenberg; Karthikeyan Shanmugam; Michael Borokhovich; Alexandros G. Dimakis (KDD, 2015)

Mining and Modeling Character Networks. - Anthony Bonato; David Ryan D'Angelo; Ethan R. Elenberg; David F. Gleich; Yangyang Hou (WAW, 2016)

Distributed Estimation of Graph 4-Profiles. - Ethan R. Elenberg; Karthikeyan Shanmugam; Michael Borokhovich; Alexandros G. Dimakis (WWW, 2016)

Restricted Strong Convexity Implies Weak Submodularity. - Ethan R. Elenberg; Rajiv Khanna; Alexandros G. Dimakis; Sahand N. Negahban (CoRR, 2016)

Scalable Greedy Feature Selection via Weak Submodularity. - Rajiv Khanna; Ethan R. Elenberg; Alexandros G. Dimakis; Sahand N. Negahban; Joydeep Ghosh (AISTATS, 2017)

On Approximation Guarantees for Greedy Low Rank Optimization. - Rajiv Khanna; Ethan R. Elenberg; Alexandros G. Dimakis; Joydeep Ghosh; Sahand N. Negahban (ICML, 2017)

Streaming Weak Submodularity: Interpreting Neural Networks on the Fly. - Ethan R. Elenberg; Alexandros G. Dimakis; Moran Feldman; Amin Karbasi (NIPS, 2017)

On Approximation Guarantees for Greedy Low Rank Optimization. - Rajiv Khanna; Ethan R. Elenberg; Alexandros G. Dimakis; Sahand N. Negahban (CoRR, 2017)

Metric Learning for Dynamic Text Classification. - Jeremy Wohlwend; Ethan R. Elenberg; Sam Altschul; Shawn Henry; Tao Lei 001 (DeepLo@EMNLP-IJCNLP, 2019)

Importance Weighted Generative Networks. - Maurice Diesendruck; Ethan R. Elenberg; Rajat Sen; Guy W. Cole; Sanjay Shakkottai; Sinead A. Williamson (ECML/PKDD (2), 2019)

Achieving Multi-port Memory Performance on Single-Port Memory with Coding Techniques. - Hardik B. Jain; Matthew Edwards 002; Ethan R. Elenberg; Ankit Singh Rawat; Sriram Vishwanath (ICICT, 2020)

Identifying Mislabeled Data using the Area Under the Margin Ranking. - Geoff Pleiss; Tianyi Zhang 007; Ethan R. Elenberg; Kilian Q. Weinberger (NeurIPS, 2020)

CEREAL: Few-Sample Clustering Evaluation. - Nihal V. Nayak; Ethan R. Elenberg; Clemens Rosenbaum (CoRR, 2022)

Domain Private Transformers for Multi-Domain Dialog Systems. - Anmol Kabra; Ethan R. Elenberg (EMNLP (Findings), 2023)

On the Effectiveness of Offline RL for Dialogue Response Generation. - Paloma Sodhi; Felix Wu; Ethan R. Elenberg; Kilian Q. Weinberger; Ryan McDonald (ICML, 2023)

Domain Private Transformers. - Anmol Kabra; Ethan R. Elenberg (CoRR, 2023)

Multi-Step Dialogue Workflow Action Prediction. - Ramya Ramakrishnan; Ethan R. Elenberg; Hashan Buddhika Narangodage; Ryan McDonald (CoRR, 2023)

Submodular Minimax Optimization: Finding Effective Sets. - Loay Raed Mualem; Ethan R. Elenberg; Moran Feldman; Amin Karbasi (AISTATS, 2024)

GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks. - Shivanshu Gupta; Clemens Rosenbaum; Ethan R. Elenberg (ICML, 2024)