Amr Ahmed

Affiliations:
  • Google Research, Mountain View, CA, USA
  • Yahoo! Research, Santa Clara, CA, USA (former)
  • Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA (former, PhD 2011)
  • University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA (former)


According to our database1, Amr Ahmed authored at least 74 papers between 2004 and 2024.

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Timeline

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Bibliography

2024
Incremental Extractive Opinion Summarization Using Cover Trees.
Trans. Mach. Learn. Res., 2024

Linear Transformer Topological Masking with Graph Random Features.
CoRR, 2024

Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning.
CoRR, 2024

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Robust Concept Erasure via Kernelized Rate-Distortion Maximization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Opinion Summarization Using Approximate Geodesics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models.
CoRR, 2021

Hierarchically Regularized Deep Forecasting.
CoRR, 2021

Exact and approximate hierarchical clustering using A.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Scalable Hierarchical Agglomerative Clustering.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies.
Proceedings of the 9th International Conference on Learning Representations, 2021

DAG-Structured Clustering by Nearest Neighbors.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Non-Stationary Off-Policy Optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Non-Stationary Latent Bandits.
CoRR, 2020

Scalable Bottom-Up Hierarchical Clustering.
CoRR, 2020

Piecewise-Stationary Off-Policy Optimization.
CoRR, 2020

Anchor & Transform: Learning Sparse Representations of Discrete Objects.
CoRR, 2020

Big Bird: Transformers for Longer Sequences.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Latent Bandits Revisited.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017
State Space LSTM Models with Particle MCMC Inference.
CoRR, 2017

Predicting Latent Structured Intents from Shopping Queries.
Proceedings of the 26th International Conference on World Wide Web, 2017

Recurrent Recommender Networks.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

SHRec: Scalable Holistic Recommendation.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Canopy Fast Sampling with Cover Trees.
Proceedings of the 34th International Conference on Machine Learning, 2017

Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data.
Proceedings of the 34th International Conference on Machine Learning, 2017

Joint Training of Ratings and Reviews with Recurrent Recommender Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Explaining Reviews and Ratings with PACO: Poisson Additive Co-Clustering.
Proceedings of the 25th International Conference on World Wide Web, 2016

2015
ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly.
Proceedings of the 24th International Conference on World Wide Web, 2015

Inferring Movement Trajectories from GPS Snippets.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Taxonomy discovery for personalized recommendation.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Scaling Distributed Machine Learning with the Parameter Server.
Proceedings of the 11th USENIX Symposium on Operating Systems Design and Implementation, 2014

Reducing the sampling complexity of topic models.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts.
Proceedings of the 22nd International World Wide Web Conference, 2013

Distributed large-scale natural graph factorization.
Proceedings of the 22nd International World Wide Web Conference, 2013

Hierarchical geographical modeling of user locations from social media posts.
Proceedings of the 22nd International World Wide Web Conference, 2013

Latent factor models with additive and hierarchically-smoothed user preferences.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

The dataminer's guide to scalable mixed-membership and nonparametric bayesian models.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Scalable Dynamic Nonparametric Bayesian Models of Content and Users.
Proceedings of the IJCAI 2013, 2013

Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling.
Proceedings of the 30th International Conference on Machine Learning, 2013

Focused matrix factorization for audience selection in display advertising.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior.
Proc. VLDB Endow., 2012

MedLDA: maximum margin supervised topic models.
J. Mach. Learn. Res., 2012

Discovering geographical topics in the twitter stream.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Fair and balanced: learning to present news stories.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Scalable inference in latent variable models.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Hokusai - Sketching Streams in Real Time.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

FastEx: Hash Clustering with Exponential Families.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Web-scale multi-task feature selection for behavioral targeting.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

WWW 2011 invited tutorial overview: latent variable models on the internet.
Proceedings of the 20th International Conference on World Wide Web, 2011

Unified analysis of streaming news.
Proceedings of the 20th International Conference on World Wide Web, 2011

Scalable distributed inference of dynamic user interests for behavioral targeting.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Sparse Additive Generative Models of Text.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Structured literature image finder: Parsing text and figures in biomedical literature.
J. Web Semant., 2010

Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream.
Proceedings of the UAI 2010, 2010

Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009
Structured correspondence topic models for mining captioned figures in biological literature.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

MedLDA: maximum margin supervised topic models for regression and classification.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2008

Joint latent topic models for text and citations.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature.
Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks.
Proceedings of the Computer Vision, 2008

2007
Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2004
Efficient Agent Communication in Multi-agent Systems.
Proceedings of the Software Engineering for Multi-Agent Systems III, 2004

ATSpace: A Middle Agent to Support Application Oriented Matchmaking and Brokering Services.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004


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