Amr Ahmed

89 papers A* 32A 18B 1Journal 28Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Inference-time Unlearning Using Conformal Prediction.
CoRR
Somnath Basu Roy Chowdhury, Rahul Kidambi, Avinava Dubey, David Wang, Gökhan Mergen, Amr Ahmed, Aranyak Mehta
2025 A conf
Fundamental Limits of Perfect Concept Erasure.
AISTATS
Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi
2025 J jnl
Fundamental Limits of Perfect Concept Erasure.
CoRR
Somnath Basu Roy Chowdhury, Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi
2025 A* conf
Linear Transformer Topological Masking with Graph Random Features.
ICLR
Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F. Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Marcin Choromanski
2024 — conf
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning.
EMNLP (Findings)
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
2024 J jnl
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning.
CoRR
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
2024 A* conf
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests.
ICLR
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2024 J jnl
Incremental Extractive Opinion Summarization Using Cover Trees.
CoRR
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
2024 J jnl
Incremental Extractive Opinion Summarization Using Cover Trees.
Trans. Mach. Learn. Res.
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
2024 J jnl
Linear Transformer Topological Masking with Graph Random Features.
CoRR
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
2023 J jnl
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests.
CoRR
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023 A* conf
Robust Concept Erasure via Kernelized Rate-Distortion Maximization.
NeurIPS
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023 J jnl
Robust Concept Erasure via Kernelized Rate-Distortion Maximization.
CoRR
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023 — conf
Unsupervised Opinion Summarization Using Approximate Geodesics.
EMNLP (Findings)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2022 J jnl
Unsupervised Opinion Summarization Using Approximate Geodesics.
CoRR
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2021 A* conf
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies.
ICLR
Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed
2021 A conf
DAG-Structured Clustering by Nearest Neighbors.
AISTATS
Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum
2021 J jnl
Exact and Approximate Hierarchical Clustering Using A.
CoRR
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021 A conf
Exact and approximate hierarchical clustering using A.
UAI
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
2021 J jnl
Hierarchically Regularized Deep Forecasting.
CoRR
Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das
2021 A conf
Non-Stationary Off-Policy Optimization.
AISTATS
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
2021 A* conf
Scalable Hierarchical Agglomerative Clustering.
KDD
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
2021 A* conf
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes.
AAAI
Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
2021 J jnl
When in Doubt, Summon the Titans: Efficient Inference with Large Models.
CoRR
Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar
2020 J jnl
Anchor & Transform: Learning Sparse Representations of Discrete Objects.
CoRR
Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed
2020 A* conf
Big Bird: Transformers for Longer Sequences.
NeurIPS
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
2020 J jnl
Big Bird: Transformers for Longer Sequences.
CoRR
Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
2020 A* conf
Latent Bandits Revisited.
NeurIPS
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
2020 J jnl
Latent Bandits Revisited.
CoRR
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
2020 J jnl
Non-Stationary Latent Bandits.
CoRR
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier
2020 J jnl
Piecewise-Stationary Off-Policy Optimization.
CoRR
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
2020 J jnl
Scalable Bottom-Up Hierarchical Clustering.
CoRR
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
2020 J jnl
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes.
CoRR
Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
2019 A* conf
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space.
KDD
Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed
2019 A conf
Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models.
WSDM
Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee
2017 A* conf
A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications.
KDD
Amr Ahmed, James Long, Daniel Silva, Yuan Wang
2017 A* conf
Canopy Fast Sampling with Cover Trees.
ICML
Manzil Zaheer, Satwik Kottur, Amr Ahmed, José M. F. Moura, Alexander J. Smola
2017 — conf
Joint Training of Ratings and Reviews with Recurrent Recommender Networks.
ICLR (Workshop)
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola
2017 A* conf
Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data.
ICML
Manzil Zaheer, Amr Ahmed, Alexander J. Smola
2017 A* conf
Predicting Latent Structured Intents from Shopping Queries.
WWW
Chao-Yuan Wu, Amr Ahmed, Gowtham Ramani Kumar, Ritendra Datta
2017 A conf
Recurrent Recommender Networks.
WSDM
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing
2017 B conf
SHRec: Scalable Holistic Recommendation.
SSDBM
Ahmed M. Aly, Moustafa A. Hammad, Amr Ahmed
2017 J jnl
State Space LSTM Models with Particle MCMC Inference.
CoRR
Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric P. Xing, Alexander J. Smola
2016 — conf
Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering.
WWW (Companion Volume)
Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola
2015 A* conf
ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly.
WWW
Alex Beutel, Amr Ahmed, Alexander J. Smola
2015 J jnl
ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly.
CoRR
Alex Beutel, Amr Ahmed, Alexander J. Smola
2015 A* conf
Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails.
KDD
Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alexander J. Smola
2015 A* conf
Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams.
KDD
Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song
2015 J jnl
Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering.
CoRR
Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola
2015 A conf
Inferring Movement Trajectories from GPS Snippets.
WSDM
Mu Li, Amr Ahmed, Alexander J. Smola
2014 A* conf
Reducing the sampling complexity of topic models.
KDD
Aaron Q. Li, Amr Ahmed, Sujith Ravi, Alexander J. Smola
2014 A conf
Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising.
WSDM
Amr Ahmed, Abhimanyu Das, Alexander J. Smola
2014 A* conf
Scaling Distributed Machine Learning with the Parameter Server.
OSDI
Mu Li, David G. Andersen, Jun Woo Park, Alexander J. Smola, Amr Ahmed, Vanja Josifovski, James Long, Eugene J. Shekita, Bor-Yiing Su
2014 A conf
Taxonomy discovery for personalized recommendation.
WSDM
Yuchen Zhang, Amr Ahmed, Vanja Josifovski, Alexander J. Smola
2013 A* conf
Distributed large-scale natural graph factorization.
WWW
Amr Ahmed, Nino Shervashidze, Shravan M. Narayanamurthy, Vanja Josifovski, Alexander J. Smola
2013 A* conf
Focused matrix factorization for audience selection in display advertising.
ICDE
Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan
2013 A* conf
Hierarchical geographical modeling of user locations from social media posts.
WWW
Amr Ahmed, Liangjie Hong, Alexander J. Smola
2013 A conf
Latent factor models with additive and hierarchically-smoothed user preferences.
WSDM
Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan
2013 A* conf
Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts.
WWW
Vidhya Navalpakkam, LaDawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed, Alexander J. Smola
2013 — conf
Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling.
ICML (3)
Amr Ahmed, Liangjie Hong, Alexander J. Smola
2013 A* conf
Scalable Dynamic Nonparametric Bayesian Models of Content and Users.
IJCAI
Amr Ahmed, Eric P. Xing
2013 A* conf
The dataminer's guide to scalable mixed-membership and nonparametric bayesian models.
KDD
Amr Ahmed, Alexander J. Smola
2012 A* conf
Discovering geographical topics in the twitter stream.
WWW
Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alexander J. Smola, Kostas Tsioutsiouliklis
2012 A conf
Fair and balanced: learning to present news stories.
WSDM
Amr Ahmed, Choon Hui Teo, S. V. N. Vishwanathan, Alexander J. Smola
2012 — conf
FastEx: Hash Clustering with Exponential Families.
NIPS
Amr Ahmed, Sujith Ravi, Shravan M. Narayanamurthy, Alexander J. Smola
2012 J jnl
Hokusai - Sketching Streams in Real Time
CoRR
Sergiy Matusevych, Alexander J. Smola, Amr Ahmed
2012 A conf
Hokusai - Sketching Streams in Real Time.
UAI
Sergiy Matusevych, Alexander J. Smola, Amr Ahmed
2012 J jnl
MedLDA: maximum margin supervised topic models.
J. Mach. Learn. Res.
Jun Zhu, Amr Ahmed, Eric P. Xing
2012 A conf
Scalable inference in latent variable models.
WSDM
Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan M. Narayanamurthy, Alexander J. Smola
2012 J jnl
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior
CoRR
Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo
2012 J jnl
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior.
Proc. VLDB Endow.
Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo
2012 J jnl
Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream
CoRR
Amr Ahmed, Eric P. Xing
2012 A conf
Web-scale multi-task feature selection for behavioral targeting.
CIKM
Amr Ahmed, Mohamed Aly, Abhimanyu Das, Alexander J. Smola, Tasos Anastasakos
2011 A conf
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.
AISTATS
Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing
2011 A* conf
Scalable distributed inference of dynamic user interests for behavioral targeting.
KDD
Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola
2011 A* conf
Sparse Additive Generative Models of Text.
ICML
Jacob Eisenstein, Amr Ahmed, Eric P. Xing
2011 A* conf
Unified analysis of streaming news.
WWW
Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo
2011 — conf
WWW 2011 invited tutorial overview: latent variable models on the internet.
WWW (Companion Volume)
Amr Ahmed, Alexander J. Smola
2010 A* conf
Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective.
EMNLP
Amr Ahmed, Eric P. Xing
2010 J jnl
Structured literature image finder: Parsing text and figures in biomedical literature.
J. Web Semant.
Amr Ahmed, Andrew Arnold, Luís Pedro Coelho, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy
2010 A conf
Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream.
UAI
Amr Ahmed, Eric P. Xing
2009 A* conf
MedLDA: maximum margin supervised topic models for regression and classification.
ICML
Jun Zhu, Amr Ahmed, Eric P. Xing
2009 A* conf
Structured correspondence topic models for mining captioned figures in biological literature.
KDD
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy
2008 A conf
Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering.
SDM
Amr Ahmed, Eric P. Xing
2008 A* conf
Joint latent topic models for text and citations.
KDD
Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen
2008 — conf
Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature.
BioLINK@ISMB/ECCB
Luís Pedro Coelho, Amr Ahmed, Andrew Arnold, Joshua D. Kangas, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert F. Murphy
2008 — conf
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks.
ECCV (3)
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing
2007 A conf
Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model.
AISTATS
Amr Ahmed, Eric P. Xing
2007 — conf
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.
ICDM Workshops
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing