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Thompson Sampling with a Mixture Prior


Jun 10, 2021
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier

* 22 pages, 3 figures 

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Case-based Reasoning for Natural Language Queries over Knowledge Bases


Apr 18, 2021
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum


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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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Model-Agnostic Graph Regularization for Few-Shot Learning


Feb 14, 2021
Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec

* NeurIPS Workshop on Meta-Learning 2020 

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Meta-Thompson Sampling


Feb 11, 2021
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvari


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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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Latent Programmer: Discrete Latent Codes for Program Synthesis


Dec 01, 2020
Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer

* 15 pages, 9 figures 

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Modifying Memories in Transformer Models


Dec 01, 2020
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix Yu, Sanjiv Kumar


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Federated Composite Optimization


Nov 17, 2020
Honglin Yuan, Manzil Zaheer, Sashank Reddi

* 45 pages, 14 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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Differentiable Open-Ended Commonsense Reasoning


Oct 24, 2020
Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen

* Work in progress. Project page: https://yuchenlin.xyz/opencsr/ 

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Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion


Oct 09, 2020
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum


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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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Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function


Sep 08, 2020
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov

* Published at AAAI 2019 

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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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A Simple Approach to Case-Based Reasoning in Knowledge Bases


Jun 25, 2020
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum


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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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Differentiable Meta-Learning in Contextual Bandits


Jun 09, 2020
Branislav Kveton, Martin Mladenov, Chih-Wei Hsu, Manzil Zaheer, Csaba Szepesvari, Craig Boutilier


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Robust Large-Margin Learning in Hyperbolic Space


Apr 11, 2020
Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Menon, Sanjiv Kumar

* Under Review 

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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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Adaptive Federated Optimization


Feb 29, 2020
Sashank Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konečný, Sanjiv Kumar, H. Brendan McMahan


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Towards Modular Algorithm Induction


Feb 27, 2020
Daniel A. Abolafia, Rishabh Singh, Manzil Zaheer, Charles Sutton

* 10 pages, 4 figures, 2 tables 

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Differentiable Reasoning over a Virtual Knowledge Base


Feb 25, 2020
Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen

* ICLR 2020 

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Differentiable Bandit Exploration


Feb 17, 2020
Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvari, Manzil Zaheer


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FedDANE: A Federated Newton-Type Method


Jan 07, 2020
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith

* Asilomar Conference on Signals, Systems, and Computers 2019 

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Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering


Sep 17, 2019
Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum


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Developing Creative AI to Generate Sculptural Objects


Aug 20, 2019
Songwei Ge, Austin Dill, Eunsu Kang, Chun-Liang Li, Lingyao Zhang, Manzil Zaheer, Barnabas Poczos

* In the Proceedings of International Symposium on Electronic Art (ISEA 2019) 

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The Myths of Our Time: Fake News


Aug 05, 2019
Vít Růžička, Eunsu Kang, David Gordon, Ankita Patel, Jacqui Fashimpaur, Manzil Zaheer

* Proceedings of International Symposium on Electronic Art 2019 (ISEA), pages 494-498 
* 5 pages, 5 figures, in proceedings of International Symposium on Electronic Art 2019 (ISEA) 

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