ATSpace: A Middle Agent to Support Application Oriented Matchmaking and Brokering Services. - Myeong-Wuk Jang; Amr Abdel Momen; Gul Agha (IAT, 2004)

Efficient Agent Communication in Multi-agent Systems. - Myeong-Wuk Jang; Amr Ahmed Momen; Gul Agha (SELMAS, 2004)

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. - Ramesh Nallapati; Amr Ahmed 001; William W. Cohen; Eric P. Xing (ICDM Workshops, 2007)

Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model. - Amr Ahmed 001; Eric P. Xing (AISTATS, 2007)

Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks. - Amr Ahmed 001; Kai Yu 001; Wei Xu 007; Yihong Gong; Eric P. Xing (ECCV (3), 2008)

Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature. - Luís Pedro Coelho; Amr Ahmed 001; Andrew Arnold; Joshua D. Kangas; Abdul-Saboor Sheikh; Eric P. Xing; William W. Cohen; Robert F. Murphy (BioLINK@ISMB/ECCB, 2008)

Joint latent topic models for text and citations. - Ramesh Nallapati; Amr Ahmed 001; Eric P. Xing; William W. Cohen (KDD, 2008)

Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering. - Amr Ahmed 001; Eric P. Xing (SDM, 2008)

MedLDA: maximum margin supervised topic models for regression and classification. - Jun Zhu 001; Amr Ahmed 001; Eric P. Xing (ICML, 2009)

Structured correspondence topic models for mining captioned figures in biological literature. - Amr Ahmed 001; Eric P. Xing; William W. Cohen; Robert F. Murphy (KDD, 2009)

Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective. - Amr Ahmed 001; Eric P. Xing (EMNLP, 2010)

Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream. - Amr Ahmed 001; Eric P. Xing (UAI, 2010)

Structured literature image finder: Parsing text and figures in biomedical literature. - Amr Ahmed 001; Andrew Arnold; Luís Pedro Coelho; Joshua D. Kangas; Abdul-Saboor Sheikh; Eric P. Xing; William W. Cohen; Robert F. Murphy (J. Web Semant., 2010)

Sparse Additive Generative Models of Text. - Jacob Eisenstein; Amr Ahmed 001; Eric P. Xing (ICML, 2011)

Scalable distributed inference of dynamic user interests for behavioral targeting. - Amr Ahmed 001; Yucheng Low; Mohamed Aly 002; Vanja Josifovski; Alexander J. Smola (KDD, 2011)

Unified analysis of streaming news. - Amr Ahmed 001; Qirong Ho; Jacob Eisenstein; Eric P. Xing; Alexander J. Smola; Choon Hui Teo (WWW, 2011)

WWW 2011 invited tutorial overview: latent variable models on the internet. - Amr Ahmed 001; Alexander J. Smola (WWW (Companion Volume), 2011)

Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text. - Amr Ahmed 001; Qirong Ho; Choon Hui Teo; Jacob Eisenstein; Alexander J. Smola; Eric P. Xing (AISTATS, 2011)

Web-scale multi-task feature selection for behavioral targeting. - Amr Ahmed 001; Mohamed Aly 002; Abhimanyu Das; Alexander J. Smola; Tasos Anastasakos (CIKM, 2012)

FastEx: Hash Clustering with Exponential Families. - Amr Ahmed 001; Sujith Ravi; Shravan M. Narayanamurthy; Alexander J. Smola (NIPS, 2012)

Hokusai - Sketching Streams in Real Time. - Sergiy Matusevych; Alexander J. Smola; Amr Ahmed 001 (UAI, 2012)

Scalable inference in latent variable models. - Amr Ahmed 001; Mohamed Aly 002; Joseph Gonzalez 001; Shravan M. Narayanamurthy; Alexander J. Smola (WSDM, 2012)

Fair and balanced: learning to present news stories. - Amr Ahmed 001; Choon Hui Teo; S. V. N. Vishwanathan; Alexander J. Smola (WSDM, 2012)

Discovering geographical topics in the twitter stream. - Liangjie Hong; Amr Ahmed 001; Siva Gurumurthy; Alexander J. Smola; Kostas Tsioutsiouliklis (WWW, 2012)

MedLDA: maximum margin supervised topic models. - Jun Zhu 001; Amr Ahmed 001; Eric P. Xing (J. Mach. Learn. Res., 2012)

Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior. - Bhargav Kanagal; Amr Ahmed 001; Sandeep Pandey; Vanja Josifovski; Jeffrey Yuan; Lluis Garcia Pueyo (Proc. VLDB Endow., 2012)

Focused matrix factorization for audience selection in display advertising. - Bhargav Kanagal; Amr Ahmed 001; Sandeep Pandey; Vanja Josifovski; Lluis Garcia Pueyo; Jeffrey Yuan (ICDE, 2013)

Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling. - Amr Ahmed 001; Liangjie Hong; Alexander J. Smola (ICML (3), 2013)

Scalable Dynamic Nonparametric Bayesian Models of Content and Users. - Amr Ahmed 001; Eric P. Xing (IJCAI, 2013)

The dataminer's guide to scalable mixed-membership and nonparametric bayesian models. - Amr Ahmed 001; Alexander J. Smola (KDD, 2013)

Latent factor models with additive and hierarchically-smoothed user preferences. - Amr Ahmed 001; Bhargav Kanagal; Sandeep Pandey; Vanja Josifovski; Lluis Garcia Pueyo; Jeffrey Yuan (WSDM, 2013)

Hierarchical geographical modeling of user locations from social media posts. - Amr Ahmed 001; Liangjie Hong; Alexander J. Smola (WWW, 2013)

Distributed large-scale natural graph factorization. - Amr Ahmed 001; Nino Shervashidze; Shravan M. Narayanamurthy; Vanja Josifovski; Alexander J. Smola (WWW, 2013)

Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts. - Vidhya Navalpakkam; LaDawn Jentzsch; Rory Sayres; Sujith Ravi; Amr Ahmed 001; Alexander J. Smola (WWW, 2013)

Reducing the sampling complexity of topic models. - Aaron Q. Li; Amr Ahmed 001; Sujith Ravi; Alexander J. Smola (KDD, 2014)

Scaling Distributed Machine Learning with the Parameter Server. - Mu Li 003; David G. Andersen; Jun Woo Park; Alexander J. Smola; Amr Ahmed 001; Vanja Josifovski; James Long; Eugene J. Shekita; Bor-Yiing Su (OSDI, 2014)

Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising. - Amr Ahmed 001; Abhimanyu Das; Alexander J. Smola (WSDM, 2014)

Taxonomy discovery for personalized recommendation. - Yuchen Zhang; Amr Ahmed 001; Vanja Josifovski; Alexander J. Smola (WSDM, 2014)

Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. - Nan Du 002; Mehrdad Farajtabar; Amr Ahmed 001; Alexander J. Smola; Le Song (KDD, 2015)

Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails. - Weinan Zhang 001; Amr Ahmed 001; Jie Yang; Vanja Josifovski; Alexander J. Smola (KDD, 2015)

Inferring Movement Trajectories from GPS Snippets. - Mu Li 003; Amr Ahmed 001; Alexander J. Smola (WSDM, 2015)

ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly. - Alex Beutel; Amr Ahmed 001; Alexander J. Smola (WWW, 2015)

Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering. - Chao-Yuan Wu; Alex Beutel; Amr Ahmed 001; Alexander J. Smola (WWW (Companion Volume), 2016)

Joint Training of Ratings and Reviews with Recurrent Recommender Networks. - Chao-Yuan Wu; Amr Ahmed 001; Alex Beutel; Alexander J. Smola (ICLR (Workshop), 2017)

Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data. - Manzil Zaheer; Amr Ahmed 001; Alexander J. Smola (ICML, 2017)

Canopy Fast Sampling with Cover Trees. - Manzil Zaheer; Satwik Kottur; Amr Ahmed 001; José M. F. Moura; Alexander J. Smola (ICML, 2017)

A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications. - Amr Ahmed 001; James Long; Daniel Silva 005; Yuan Wang (KDD, 2017)

SHRec: Scalable Holistic Recommendation. - Ahmed M. Aly; Moustafa A. Hammad; Amr Ahmed 001 (SSDBM, 2017)

Recurrent Recommender Networks. - Chao-Yuan Wu; Amr Ahmed 001; Alex Beutel; Alexander J. Smola; How Jing (WSDM, 2017)

Predicting Latent Structured Intents from Shopping Queries. - Chao-Yuan Wu; Amr Ahmed 001; Gowtham Ramani Kumar; Ritendra Datta (WWW, 2017)

State Space LSTM Models with Particle MCMC Inference. - Xun Zheng; Manzil Zaheer; Amr Ahmed 001; Yuan Wang; Eric P. Xing; Alexander J. Smola (CoRR, 2017)

Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. - Nicholas Monath; Manzil Zaheer; Daniel Silva 005; Andrew McCallum; Amr Ahmed 001 (KDD, 2019)

Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. - Manzil Zaheer; Amr Ahmed 001; Yuan Wang; Daniel Silva 005; Marc Najork; Yuchen Wu; Shibani Sanan; Surojit Chatterjee (WSDM, 2019)

Latent Bandits Revisited. - Joey Hong; Branislav Kveton; Manzil Zaheer; Yinlam Chow; Amr Ahmed 001; Craig Boutilier (NeurIPS, 2020)

Big Bird: Transformers for Longer Sequences. - Manzil Zaheer; Guru Guruganesh; Kumar Avinava Dubey; Joshua Ainslie; Chris Alberti; Santiago Ontañón; Philip Pham; Anirudh Ravula; Qifan Wang 001; Li Yang; Amr Ahmed 001 (NeurIPS, 2020)

Anchor & Transform: Learning Sparse Representations of Discrete Objects. - Paul Pu Liang; Manzil Zaheer; Yuan Wang; Amr Ahmed 001 (CoRR, 2020)

Piecewise-Stationary Off-Policy Optimization. - Joey Hong; Branislav Kveton; Manzil Zaheer; Yinlam Chow; Amr Ahmed 001 (CoRR, 2020)

Scalable Bottom-Up Hierarchical Clustering. - Nicholas Monath; Avinava Dubey; Guru Guruganesh; Manzil Zaheer; Amr Ahmed 001; Andrew McCallum; Gökhan Mergen; Marc Najork; Mert Terzihan; Bryon Tjanaka; Yuan Wang; Yuchen Wu (CoRR, 2020)

Non-Stationary Latent Bandits. - Joey Hong; Branislav Kveton; Manzil Zaheer; Yinlam Chow; Amr Ahmed 001; Mohammad Ghavamzadeh; Craig Boutilier (CoRR, 2020)

Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. - Xinyuan Zhang 001; Ruiyi Zhang 002; Manzil Zaheer; Amr Ahmed 001 (AAAI, 2021)

Non-Stationary Off-Policy Optimization. - Joey Hong; Branislav Kveton; Manzil Zaheer; Yinlam Chow; Amr Ahmed 001 (AISTATS, 2021)

DAG-Structured Clustering by Nearest Neighbors. - Nicholas Monath; Manzil Zaheer; Kumar Avinava Dubey; Amr Ahmed 001; Andrew McCallum (AISTATS, 2021)

Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies. - Paul Pu Liang; Manzil Zaheer; Yuan Wang; Amr Ahmed 001 (ICLR, 2021)

Scalable Hierarchical Agglomerative Clustering. - Nicholas Monath; Kumar Avinava Dubey; Guru Guruganesh; Manzil Zaheer; Amr Ahmed 001; Andrew McCallum; Gökhan Mergen; Marc Najork; Mert Terzihan; Bryon Tjanaka; Yuan Wang; Yuchen Wu (KDD, 2021)

Exact and approximate hierarchical clustering using A. - Craig S. Greenberg; Sebastian Macaluso; Nicholas Monath; Avinava Dubey; Patrick Flaherty; Manzil Zaheer; Amr Ahmed 001; Kyle Cranmer; Andrew McCallum (UAI, 2021)

Hierarchically Regularized Deep Forecasting. - Biswajit Paria; Rajat Sen; Amr Ahmed 001; Abhimanyu Das (CoRR, 2021)

When in Doubt, Summon the Titans: Efficient Inference with Large Models. - Ankit Singh Rawat; Manzil Zaheer; Aditya Krishna Menon; Amr Ahmed 001; Sanjiv Kumar (CoRR, 2021)

Unsupervised Opinion Summarization Using Approximate Geodesics. - Somnath Basu Roy Chowdhury; Nicholas Monath; Avinava Dubey; Amr Ahmed 001; Snigdha Chaturvedi (EMNLP (Findings), 2023)

Robust Concept Erasure via Kernelized Rate-Distortion Maximization. - Somnath Basu Roy Chowdhury; Nicholas Monath; Kumar Avinava Dubey; Amr Ahmed 001; Snigdha Chaturvedi (NeurIPS, 2023)

Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. - Kaiwen Wang; Rahul Kidambi; Ryan Sullivan; Alekh Agarwal; Christoph Dann; Andrea Michi; Marco Gelmi; Yunxuan Li; Raghav Gupta; Avinava Dubey; Alexandre Ramé; Johan Ferret; et al. (EMNLP (Findings), 2024)

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. - Somnath Basu Roy Chowdhury; Nicholas Monath; Ahmad Beirami; Rahul Kidambi; Kumar Avinava Dubey; Amr Ahmed 001; Snigdha Chaturvedi (ICLR, 2024)

Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning. - Kaiwen Wang; Rahul Kidambi; Ryan Sullivan; Alekh Agarwal; Christoph Dann; Andrea Michi; Marco Gelmi; Yunxuan Li; Raghav Gupta; Avinava Dubey; Alexandre Ramé; Johan Ferret; et al. (CoRR, 2024)

Incremental Extractive Opinion Summarization Using Cover Trees. - Somnath Basu Roy Chowdhury; Nicholas Monath; Kumar Avinava Dubey; Manzil Zaheer; Andrew McCallum; Amr Ahmed 001; Snigdha Chaturvedi (Trans. Mach. Learn. Res., 2024)

Fundamental Limits of Perfect Concept Erasure. - Somnath Basu Roy Chowdhury; Kumar Avinava Dubey; Ahmad Beirami; Rahul Kidambi; Nicholas Monath; Amr Ahmed 001; Snigdha Chaturvedi (AISTATS, 2025)

Linear Transformer Topological Masking with Graph Random Features. - Isaac Reid; Kumar Avinava Dubey; Deepali Jain; William F. Whitney; Amr Ahmed 001; Joshua Ainslie; Alex Bewley; Mithun George Jacob; Aranyak Mehta; David Rendleman; Connor Schenck; Richard E. Turner; et al. (ICLR, 2025)