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Ethan R. Elenberg

Observed names: Elenberg, Ethan, Elenberg, Ethan R., Elenberg, Ethan Russell, Ethan Elenberg
OpenAlex ID: A5072501995
Restricted strong convexity implies weak submodularity
2018 · Ethan R. Elenberg, Rajiv Khanna, et al. · The Annals of Statistics · 99
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Scalable Greedy Feature Selection via Weak Submodularity
2017 · Khanna, Rajiv, Elenberg, Ethan, et al. · arXiv (Cornell University) · 46
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Identifying Mislabeled Data using the Area Under the Margin Ranking
2020 · Pleiss, Geoff, Zhang, Tianyi, et al. · arXiv (Cornell University) · 43
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Beyond Triangles
2015 · Ethan R. Elenberg, Karthikeyan Shanmugam, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 34
Distributed Estimation of Graph 4-Profiles
2016 · Ethan R. Elenberg, Karthikeyan Shanmugam, et al. · International World Wide Web Conference (WWW) · 33
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Mining and Modeling Character Networks
2016 · Anthony Bonato, David Ryan D’Angelo, et al. · Lecture notes in computer science · 29
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Importance Weighted Generative Networks
2020 · Maurice Diesendruck, Ethan R. Elenberg, et al. · Lecture notes in computer science · 14
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Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
2017 · Elenberg, Ethan R., Dimakis, Alexandros G., et al. · arXiv (Cornell University) · 14
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On Approximation Guarantees for Greedy Low Rank Optimization
2017 · Khanna, Rajiv, Elenberg, Ethan, et al. · arXiv (Cornell University) · 12
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Metric Learning for Dynamic Text Classification
2019 · Jeremy Wohlwend, Ethan R. Elenberg, et al. · 9
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Wireless index coding through rank minimization
2014 · Jonathan I. Tamir, Ethan R. Elenberg, et al. · International Conference on Communications · 6
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs
2015 · Elenberg, Ethan R., Shanmugam, Karthikeyan, et al. · arXiv (Cornell University) · 5
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Achieving Multi-port Memory Performance on Single-Port Memory with Coding Techniques
2020 · Hardik Jain, Matthew Edwards, et al. · International Conference on Information and Computer Technologies (ICICT) · 4
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Detecting Noisy Training Data with Loss Curves
2019 · Geoff Pleiss, Tianyi Zhang, et al. · 2
Submodular Minimax Optimization: Finding Effective Sets
2023 · Mualem, Loay, Elenberg, Ethan R., et al. · arXiv (Cornell University) · 1
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Multi-Step Dialogue Workflow Action Prediction
2023 · Ramakrishnan, Ramya, Elenberg, Ethan R., et al. · arXiv (Cornell University)
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GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
2023 · Gupta, Shivanshu, Rosenbaum, Clemens, et al. · arXiv (Cornell University)
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On the Effectiveness of Offline RL for Dialogue Response Generation
2023 · Sodhi, Paloma, Wu, Felix, et al. · arXiv (Cornell University)
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Domain Private Transformers for Multi-Domain Dialog Systems
2023 · Anmol Kabra, Ethan Elenberg
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CEREAL: Few-Sample Clustering Evaluation
2022 · Nayak, Nihal V., Elenberg, Ethan R., et al. · arXiv (Cornell University)
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Coded Access Architectures for Dense Memory Systems
2020 · Hardik Jain, Matthew Edwards, et al. · Advances in intelligent systems and computing
Metric Learning for Dynamic Text Classification
2019 · Wohlwend, Jeremy, Elenberg, Ethan R., et al. · arXiv (Cornell University)
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Graph analytics and subset selection problems in machine learning
2018 · Elenberg, Ethan Russell · Texas ScholarWorks (Texas Digital Library)
Works count: 25
Citation count: 351
H-index: 9
I10-index: 9
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