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2020 – today
- 2024
[j1]Christina Göpfert
, Alex Haig, Chih-Wei Hsu, Yinlam Chow, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Hubert Pham, Mohammad Ghavamzadeh, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors. Trans. Recomm. Syst. 2(4): 30:1-30:37 (2024)- 2023
- [c7]Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran:
Realistic but Non-Identifiable Synthetic User Data Generation. EvalRS@KDD 2023 - [i5]Christopher T. Small, Ivan Vendrov, Esin Durmus, Hadjar Homaei, Elizabeth Barry, Julien Cornebise, Ted Suzman, Deep Ganguli, Colin Megill:
Opportunities and Risks of LLMs for Scalable Deliberation with Polis. CoRR abs/2306.11932 (2023) - 2022
- [c6]Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov:
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. AAAI 2022: 12287-12293 - [c5]Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. WWW 2022: 2411-2421 - [i4]Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. CoRR abs/2202.02830 (2022) - 2021
- [i3]Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier:
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems. CoRR abs/2103.08057 (2021) - [i2]Jonathan Stray, Ivan Vendrov, Jeremy Nixon, Steven Adler, Dylan Hadfield-Menell:
What are you optimizing for? Aligning Recommender Systems with Human Values. CoRR abs/2107.10939 (2021) - 2020
- [c4]Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier:
Gradient-Based Optimization for Bayesian Preference Elicitation. AAAI 2020: 10292-10301 - [c3]Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier:
Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. RecSys 2020: 591-593
2010 – 2019
- 2019
- [i1]Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier:
Gradient-based Optimization for Bayesian Preference Elicitation. CoRR abs/1911.09153 (2019) - 2016
- [c2]Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun:
Order-Embeddings of Images and Language. ICLR 2016 - 2014
- [c1]Ivan Vendrov, Christopher Dutchyn, Nathaniel D. Osgood:
Frabjous: A Declarative Domain-Specific Language for Agent-Based Modeling. SBP 2014: 385-392
Coauthor Index
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