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ORCIDEthan R. Elenberg
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- affiliation: University of Texas at Austin, Austin, USA
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2020 – today
- 2024
[c15]Loay Raed Mualem, Ethan R. Elenberg, Moran Feldman, Amin Karbasi:
Submodular Minimax Optimization: Finding Effective Sets. AISTATS 2024: 1081-1089- [c14]Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg:
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks. ICML 2024 - 2023
- [c13]Anmol Kabra, Ethan R. Elenberg:
Domain Private Transformers for Multi-Domain Dialog Systems. EMNLP (Findings) 2023: 6049-6061 - [c12]Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald:
On the Effectiveness of Offline RL for Dialogue Response Generation. ICML 2023: 32088-32104 - [i17]Anmol Kabra, Ethan R. Elenberg:
Domain Private Transformers. CoRR abs/2305.14208 (2023) - [i16]Loay Mualem, Ethan R. Elenberg, Moran Feldman, Amin Karbasi:
Submodular Minimax Optimization: Finding Effective Sets. CoRR abs/2305.16903 (2023) - [i15]Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald:
On the Effectiveness of Offline RL for Dialogue Response Generation. CoRR abs/2307.12425 (2023) - [i14]Ramya Ramakrishnan, Ethan R. Elenberg, Hashan Buddhika Narangodage, Ryan McDonald:
Multi-Step Dialogue Workflow Action Prediction. CoRR abs/2311.09593 (2023) - [i13]Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg:
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks. CoRR abs/2311.09606 (2023) - 2022
- [i12]Nihal V. Nayak, Ethan R. Elenberg, Clemens Rosenbaum:
CEREAL: Few-Sample Clustering Evaluation. CoRR abs/2210.00064 (2022) - 2020
- [c11]Hardik B. Jain, Matthew Edwards, Ethan R. Elenberg, Ankit Singh Rawat, Sriram Vishwanath:
Achieving Multi-port Memory Performance on Single-Port Memory with Coding Techniques. ICICT 2020: 366-375 - [c10]Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger:
Identifying Mislabeled Data using the Area Under the Margin Ranking. NeurIPS 2020 - [i11]Hardik B. Jain, Matthew Edwards, Ethan R. Elenberg, Ankit Singh Rawat, Sriram Vishwanath:
Achieving Multi-Port Memory Performance on Single-Port Memory with Coding Techniques. CoRR abs/2001.09599 (2020) - [i10]Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger:
Identifying Mislabeled Data using the Area Under the Margin Ranking. CoRR abs/2001.10528 (2020)
2010 – 2019
- 2019
- [c9]Jeremy Wohlwend, Ethan R. Elenberg, Sam Altschul, Shawn Henry, Tao Lei:
Metric Learning for Dynamic Text Classification. DeepLo@EMNLP-IJCNLP 2019: 143-152 - [c8]Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance Weighted Generative Networks. ECML/PKDD (2) 2019: 249-265 - [i9]Jeremy Wohlwend, Ethan R. Elenberg, Samuel Altschul, Shawn Henry, Tao Lei:
Metric Learning for Dynamic Text Classification. CoRR abs/1911.01026 (2019) - 2018
- [i8]Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance weighted generative networks. CoRR abs/1806.02512 (2018) - 2017
- [c7]Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh:
Scalable Greedy Feature Selection via Weak Submodularity. AISTATS 2017: 1560-1568 - [c6]Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand N. Negahban:
On Approximation Guarantees for Greedy Low Rank Optimization. ICML 2017: 1837-1846 - [c5]Ethan R. Elenberg, Alexandros G. Dimakis, Moran Feldman, Amin Karbasi:
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly. NIPS 2017: 4044-4054 - [i7]Ethan R. Elenberg, Alexandros G. Dimakis, Moran Feldman, Amin Karbasi:
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly. CoRR abs/1703.02647 (2017) - [i6]Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban:
On Approximation Guarantees for Greedy Low Rank Optimization. CoRR abs/1703.02721 (2017) - [i5]Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh:
Scalable Greedy Feature Selection via Weak Submodularity. CoRR abs/1703.02723 (2017) - 2016
- [c4]Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich
, Yangyang Hou:
Mining and Modeling Character Networks. WAW 2016: 100-114 - [c3]Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis:
Distributed Estimation of Graph 4-Profiles. WWW 2016: 483-493 - [i4]Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou:
Mining and modeling character networks. CoRR abs/1608.00646 (2016) - [i3]Ethan R. Elenberg, Rajiv Khanna, Alexandros G. Dimakis, Sahand N. Negahban:
Restricted Strong Convexity Implies Weak Submodularity. CoRR abs/1612.00804 (2016) - 2015
- [c2]Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis:
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs. KDD 2015: 229-238 - [i2]Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis:
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs. CoRR abs/1506.06671 (2015) - [i1]Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis:
Distributed Estimation of Graph 4-Profiles. CoRR abs/1510.02215 (2015) - 2014
- [c1]Jonathan I. Tamir, Ethan R. Elenberg, Anurag Banerjee, Sriram Vishwanath:
Wireless index coding through rank minimization. ICC 2014: 5209-5214
Coauthor Index
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last updated on 2024-09-04 01:25 CEST by the dblp team
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