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Questions Are All You Need to Train a Dense Passage Retriever



Devendra Singh Sachan , Mike Lewis , Dani Yogatama , Luke Zettlemoyer , Joelle Pineau , Manzil Zaheer


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Improving Passage Retrieval with Zero-Shot Question Generation



Devendra Singh Sachan , Mike Lewis , Mandar Joshi , Armen Aghajanyan , Wen-tau Yih , Joelle Pineau , Luke Zettlemoyer


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New Insights on Reducing Abrupt Representation Change in Online Continual Learning



Lucas Caccia , Rahaf Aljundi , Nader Asadi , Tinne Tuytelaars , Joelle Pineau , Eugene Belilovsky

* Accepted at ICLR 2022. Code Available at https://github.com/pclucas14/AML 

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Robust Policy Learning over Multiple Uncertainty Sets



Annie Xie , Shagun Sodhani , Chelsea Finn , Joelle Pineau , Amy Zhang

* Project webpage at https://sites.google.com/view/sirsa-public/home 

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Estimating causal effects with optimization-based methods: A review and empirical comparison



Martin Cousineau , Vedat Verter , Susan A. Murphy , Joelle Pineau

* European Journal of Operational Research, 2022, 14 pages 
* In Press, Corrected Proof 

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Efficient Continual Learning Ensembles in Neural Network Subspaces



Thang Doan , Seyed Iman Mirzadeh , Joelle Pineau , Mehrdad Farajtabar


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A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions



Anthony GX-Chen , Veronica Chelu , Blake A. Richards , Joelle Pineau

* 18 pages, 6 figures, 2 tables. Preprint. Accepted by AAAI-22 

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Block Contextual MDPs for Continual Learning



Shagun Sodhani , Franziska Meier , Joelle Pineau , Amy Zhang

* 26pages, Under Review 

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OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation



Jongmin Lee , Wonseok Jeon , Byung-Jun Lee , Joelle Pineau , Kee-Eung Kim

* 26 pages, 11 figures, Accepted at ICML 2021 

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