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

Oct 19, 2021
Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar

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Hierarchically Regularized Deep Forecasting

Jun 14, 2021
Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das

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Exact and Approximate Hierarchical Clustering Using A*

Apr 14, 2021
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum

* 30 pages, 9 figures 

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A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System

Dec 30, 2020
Wei Xiang Lim, Zhiyuan Chen, Amr Ahmed, Tissa Chandesa, Iman Liao

* This paper is published in The International Conference on Digital Image and Signal Processing (DISP 2019)At: Oxford, United Kingdom 

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Amazon SageMaker Autopilot: a white box AutoML solution at scale

Dec 16, 2020
Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Lienart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias Seeger, Bhaskar Dutt, Laurence Rouesnel

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Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization

Dec 15, 2020
Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias Seeger, Cédric Archambeau

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Non-Stationary Latent Bandits

Dec 01, 2020
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier

* 15 pages, 4 figures 

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Scalable Bottom-Up Hierarchical Clustering

Nov 04, 2020
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gokhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu

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Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes

Sep 15, 2020
Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed

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Big Bird: Transformers for Longer Sequences

Jul 28, 2020
Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed

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Latent Bandits Revisited

Jun 15, 2020
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier

* 16 pages, 2 figures 

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Piecewise-Stationary Off-Policy Optimization

Jun 15, 2020
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed

* 16 pages, 2 figures 

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Anchor & Transform: Learning Sparse Representations of Discrete Objects

Mar 18, 2020
Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed

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State Space LSTM Models with Particle MCMC Inference

Nov 30, 2017
Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric P Xing, Alexander J Smola

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Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering

Dec 06, 2015
Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J. Smola

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High Performance Latent Variable Models

Nov 11, 2015
Aaron Q. Li, Amr Ahmed, Mu Li, Vanja Josifovski

* arXiv admin note: This paper has been withdrawn due to an irreconcilable author dispute 

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ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly

Dec 31, 2014
Alex Beutel, Amr Ahmed, Alexander J. Smola

* 22 pages, under review for conference publication 

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Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream

Mar 15, 2012
Amr Ahmed, Eric P. Xing

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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Estimating time-varying networks

Oct 20, 2010
Mladen Kolar, Le Song, Amr Ahmed, Eric P. Xing

* Annals of Applied Statistics 2010, Vol. 4, No. 1, 94-123 
* Published in at the Annals of Applied Statistics ( by the Institute of Mathematical Statistics (

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MedLDA: A General Framework of Maximum Margin Supervised Topic Models

Dec 30, 2009
Jun Zhu, Amr Ahmed, Eric P. Xing

* Journal of Machine Learning Research, 13(Aug): 2237--2278, 2012 
* 27 Pages 

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Time-Varying Networks: Recovering Temporally Rewiring Genetic Networks During the Life Cycle of Drosophila melanogaster

Jan 06, 2009
Amr Ahmed, Le Song, Eric P. Xing

* Correcting some figure formatting errors 

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