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Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors


Feb 06, 2022
Christina Göpfert, Yinlam Chow, Chih-wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier


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What are you optimizing for? Aligning Recommender Systems with Human Values


Jul 22, 2021
Jonathan Stray, Ivan Vendrov, Jeremy Nixon, Steven Adler, Dylan Hadfield-Menell

* Originally presented at the ICML 2020 Participatory Approaches to Machine Learning workshop 

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RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems


Mar 14, 2021
Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier


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Gradient-based Optimization for Bayesian Preference Elicitation


Nov 20, 2019
Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier

* To appear in the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 

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Order-Embeddings of Images and Language


Mar 01, 2016
Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun

* ICLR camera-ready version 

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