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Unsupervised Opinion Summarization Using Approximate Geodesics


Sep 15, 2022
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

* Work in Progress 

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Chefs' Random Tables: Non-Trigonometric Random Features


May 30, 2022
Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller


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On Learning the Transformer Kernel


Oct 15, 2021
Sankalan Pal Chowdhury, Adamos Solomou, Avinava Dubey, Mrinmaya Sachan

* 26 pages, of which 11 form the appendix. 6 figures of which 2 are part of appendix 

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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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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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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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Distributed, partially collapsed MCMC for Bayesian Nonparametrics


Jan 15, 2020
Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson

* Accepted in AISTATS 2020 

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Transformation Autoregressive Networks


Oct 23, 2018
Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider

* ICML 2018 

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Bayesian Nonparametric Kernel-Learning


Jan 30, 2018
Junier Oliva, Avinava Dubey, Andrew G. Wilson, Barnabas Poczos, Jeff Schneider, Eric P. Xing


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