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ORCIDAmr Ahmed 0001
Amr Ahmed Momen – Amr Abdel Momen
Person information
- affiliation: Google Research, Mountain View, CA, USA
- affiliation (former): Yahoo! Research, Santa Clara, CA, USA
- affiliation (former, PhD 2011): Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- affiliation (former): University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
Other persons with the same name
- Amr Ahmed — disambiguation page
- Amr Ahmed 0002
![[0000-0002-7749-7911]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7749-7911")
— University of Nottingham Malaysia, School of Computer Science, Semenyih, Malaysia (and 2 more) - Amr Ahmed 0003 — University of California, San Diego, CA, USA (and 1 more)
- Amr Ahmed 0004 — Amazon Web Services (AWS), Montreal, QC, Canada
- Amr Ahmed 0005 — German University in Cairo, Faculty of Engineering and Materials Science, Cairo, Egypt
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2020 – today
- 2024
[j4]Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi:
Incremental Extractive Opinion Summarization Using Cover Trees. Trans. Mach. Learn. Res. 2024 (2024)- [c61]Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Kumar Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent:
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. EMNLP (Findings) 2024: 2153-2186 - [c60]Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. ICLR 2024 - [i22]Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi:
Incremental Extractive Opinion Summarization Using Cover Trees. CoRR abs/2401.08047 (2024) - [i21]Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent:
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning. CoRR abs/2407.15762 (2024) - [i20]Isaac Reid, Kumar Avinava Dubey, Deepali Jain, Will Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Choromanski:
Linear Transformer Topological Masking with Graph Random Features. CoRR abs/2410.03462 (2024) - 2023
- [c59]Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Unsupervised Opinion Summarization Using Approximate Geodesics. EMNLP (Findings) 2023: 97-112 - [c58]Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. NeurIPS 2023 - [i19]Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. CoRR abs/2310.11401 (2023) - [i18]Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. CoRR abs/2312.00194 (2023) - 2022
- [i17]Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Unsupervised Opinion Summarization Using Approximate Geodesics. CoRR abs/2209.07496 (2022) - 2021
- [c57]Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed:
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. AAAI 2021: 14489-14497 - [c56]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed:
Non-Stationary Off-Policy Optimization. AISTATS 2021: 2494-2502 - [c55]Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum:
DAG-Structured Clustering by Nearest Neighbors. AISTATS 2021: 2854-2862 - [c54]Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed:
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies. ICLR 2021 - [c53]Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu:
Scalable Hierarchical Agglomerative Clustering. KDD 2021: 1245-1255 - [c52]Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum:
Exact and approximate hierarchical clustering using A. UAI 2021: 2061-2071 - [i16]Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum:
Exact and Approximate Hierarchical Clustering Using A. CoRR abs/2104.07061 (2021) - [i15]Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das:
Hierarchically Regularized Deep Forecasting. CoRR abs/2106.07630 (2021) - [i14]Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar:
When in Doubt, Summon the Titans: Efficient Inference with Large Models. CoRR abs/2110.10305 (2021) - 2020
- [c51]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier:
Latent Bandits Revisited. NeurIPS 2020 - [c50]Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. NeurIPS 2020 - [i13]Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed:
Anchor & Transform: Learning Sparse Representations of Discrete Objects. CoRR abs/2003.08197 (2020) - [i12]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed:
Piecewise-Stationary Off-Policy Optimization. CoRR abs/2006.08236 (2020) - [i11]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier:
Latent Bandits Revisited. CoRR abs/2006.08714 (2020) - [i10]Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. CoRR abs/2007.14062 (2020) - [i9]Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed:
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. CoRR abs/2009.06851 (2020) - [i8]Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu:
Scalable Bottom-Up Hierarchical Clustering. CoRR abs/2010.11821 (2020) - [i7]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier:
Non-Stationary Latent Bandits. CoRR abs/2012.00386 (2020)
2010 – 2019
- 2019
- [c49]Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed:
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. KDD 2019: 714-722 - [c48]Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee:
Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. WSDM 2019: 186-194 - 2017
- [c47]Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola:
Joint Training of Ratings and Reviews with Recurrent Recommender Networks. ICLR (Workshop) 2017 - [c46]Manzil Zaheer, Amr Ahmed, Alexander J. Smola:
Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data. ICML 2017: 3967-3976 - [c45]Manzil Zaheer, Satwik Kottur, Amr Ahmed, José M. F. Moura, Alexander J. Smola:
Canopy Fast Sampling with Cover Trees. ICML 2017: 3977-3986 - [c44]Amr Ahmed, James Long, Daniel Silva, Yuan Wang:
A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications. KDD 2017: 1713-1721 - [c43]Ahmed M. Aly, Moustafa A. Hammad, Amr Ahmed:
SHRec: Scalable Holistic Recommendation. SSDBM 2017: 19:1-19:11 - [c42]Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing:
Recurrent Recommender Networks. WSDM 2017: 495-503 - [c41]Chao-Yuan Wu, Amr Ahmed, Gowtham Ramani Kumar, Ritendra Datta:
Predicting Latent Structured Intents from Shopping Queries. WWW 2017: 1133-1141 - [i6]Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric P. Xing, Alexander J. Smola:
State Space LSTM Models with Particle MCMC Inference. CoRR abs/1711.11179 (2017) - 2016
- [c40]Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola:
Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering. WWW (Companion Volume) 2016: 127-128 - 2015
- [c39]Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song:
Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. KDD 2015: 219-228 - [c38]Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alexander J. Smola:
Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails. KDD 2015: 2257-2266 - [c37]Mu Li, Amr Ahmed, Alexander J. Smola:
Inferring Movement Trajectories from GPS Snippets. WSDM 2015: 325-334 - [c36]Alex Beutel, Amr Ahmed, Alexander J. Smola:
ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly. WWW 2015: 119-129 - [i5]Alex Beutel, Amr Ahmed, Alexander J. Smola:
ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly. CoRR abs/1501.00199 (2015) - [i4]Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola:
Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering. CoRR abs/1512.01845 (2015) - 2014
- [c35]Aaron Q. Li, Amr Ahmed, Sujith Ravi, Alexander J. Smola:
Reducing the sampling complexity of topic models. KDD 2014: 891-900 - [c34]Mu Li, David G. Andersen, Jun Woo Park, Alexander J. Smola, Amr Ahmed, Vanja Josifovski, James Long, Eugene J. Shekita, Bor-Yiing Su:
Scaling Distributed Machine Learning with the Parameter Server. OSDI 2014: 583-598 - [c33]Amr Ahmed, Abhimanyu Das, Alexander J. Smola:
Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising. WSDM 2014: 153-162 - [c32]Yuchen Zhang, Amr Ahmed, Vanja Josifovski, Alexander J. Smola:
Taxonomy discovery for personalized recommendation. WSDM 2014: 243-252 - 2013
- [c31]Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan:
Focused matrix factorization for audience selection in display advertising. ICDE 2013: 386-397 - [c30]Amr Ahmed, Liangjie Hong, Alexander J. Smola:
Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling. ICML (3) 2013: 1426-1434 - [c29]Amr Ahmed, Eric P. Xing:
Scalable Dynamic Nonparametric Bayesian Models of Content and Users. IJCAI 2013: 3111-3115 - [c28]Amr Ahmed, Alexander J. Smola:
The dataminer's guide to scalable mixed-membership and nonparametric bayesian models. KDD 2013: 1529 - [c27]Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan:
Latent factor models with additive and hierarchically-smoothed user preferences. WSDM 2013: 385-394 - [c26]Amr Ahmed, Liangjie Hong, Alexander J. Smola:
Hierarchical geographical modeling of user locations from social media posts. WWW 2013: 25-36 - [c25]Amr Ahmed, Nino Shervashidze, Shravan M. Narayanamurthy, Vanja Josifovski, Alexander J. Smola:
Distributed large-scale natural graph factorization. WWW 2013: 37-48 - [c24]Vidhya Navalpakkam, LaDawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed, Alexander J. Smola:
Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts. WWW 2013: 953-964 - 2012
- [j3]Jun Zhu, Amr Ahmed, Eric P. Xing:
MedLDA: maximum margin supervised topic models. J. Mach. Learn. Res. 13: 2237-2278 (2012) - [j2]Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo:
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior. Proc. VLDB Endow. 5(10): 956-967 (2012) - [c23]Amr Ahmed, Mohamed Aly, Abhimanyu Das, Alexander J. Smola, Tasos Anastasakos:
Web-scale multi-task feature selection for behavioral targeting. CIKM 2012: 1737-1741 - [c22]Amr Ahmed, Sujith Ravi, Shravan M. Narayanamurthy, Alexander J. Smola:
FastEx: Hash Clustering with Exponential Families. NIPS 2012: 2807-2815 - [c21]Sergiy Matusevych, Alexander J. Smola, Amr Ahmed:
Hokusai - Sketching Streams in Real Time. UAI 2012: 594-603 - [c20]Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan M. Narayanamurthy, Alexander J. Smola:
Scalable inference in latent variable models. WSDM 2012: 123-132 - [c19]Amr Ahmed, Choon Hui Teo, S. V. N. Vishwanathan, Alexander J. Smola:
Fair and balanced: learning to present news stories. WSDM 2012: 333-342 - [c18]Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alexander J. Smola, Kostas Tsioutsiouliklis:
Discovering geographical topics in the twitter stream. WWW 2012: 769-778 - [i3]Amr Ahmed, Eric P. Xing:
Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream. CoRR abs/1203.3463 (2012) - [i2]Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo:
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior. CoRR abs/1207.0136 (2012) - [i1]Sergiy Matusevych, Alexander J. Smola, Amr Ahmed:
Hokusai - Sketching Streams in Real Time. CoRR abs/1210.4891 (2012) - 2011
- [c17]Jacob Eisenstein, Amr Ahmed, Eric P. Xing:
Sparse Additive Generative Models of Text. ICML 2011: 1041-1048 - [c16]Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola:
Scalable distributed inference of dynamic user interests for behavioral targeting. KDD 2011: 114-122 - [c15]Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo:
Unified analysis of streaming news. WWW 2011: 267-276 - [c14]Amr Ahmed, Alexander J. Smola:
WWW 2011 invited tutorial overview: latent variable models on the internet. WWW (Companion Volume) 2011: 281-282 - [c13]Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing:
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text. AISTATS 2011: 101-109 - 2010
- [j1]Amr Ahmed, Andrew Arnold, Luís Pedro Coelho, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy:
Structured literature image finder: Parsing text and figures in biomedical literature. J. Web Semant. 8(2-3): 151-154 (2010) - [c12]Amr Ahmed, Eric P. Xing:
Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective. EMNLP 2010: 1140-1150 - [c11]Amr Ahmed, Eric P. Xing:
Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream. UAI 2010: 20-29
2000 – 2009
- 2009
- [c10]Jun Zhu, Amr Ahmed, Eric P. Xing:
MedLDA: maximum margin supervised topic models for regression and classification. ICML 2009: 1257-1264 - [c9]Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy:
Structured correspondence topic models for mining captioned figures in biological literature. KDD 2009: 39-48 - 2008
- [c8]Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing:
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks. ECCV (3) 2008: 69-82 - [c7]Luís Pedro Coelho, Amr Ahmed, Andrew Arnold, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy:
Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature. BioLINK@ISMB/ECCB 2008: 23-32 - [c6]Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen:
Joint latent topic models for text and citations. KDD 2008: 542-550 - [c5]Amr Ahmed, Eric P. Xing:
Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering. SDM 2008: 219-230 - 2007
- [c4]Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing:
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. ICDM Workshops 2007: 343-348 - [c3]Amr Ahmed, Eric P. Xing:
Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model. AISTATS 2007: 19-26 - 2004
- [c2]Myeong-Wuk Jang, Amr Abdel Momen, Gul Agha:
ATSpace: A Middle Agent to Support Application Oriented Matchmaking and Brokering Services. IAT 2004: 393-396 - [c1]Myeong-Wuk Jang, Amr Ahmed Momen, Gul Agha:
Efficient Agent Communication in Multi-agent Systems. SELMAS 2004: 236-253
Coauthor Index
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