Ivan Vendrov

According to our database, Ivan Vendrov authored at least 11 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Christina Göpfert, Alex Haig, Chih-Wei Hsu, Yinlam Chow, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Hubert Pham, Mohammad Ghavamzadeh, Craig Boutilier

Trans. Recomm. Syst., December, 2024

2023

Opportunities and Risks of LLMs for Scalable Deliberation with Polis.

Christopher T. Small, Ivan Vendrov, Esin Durmus, Hadjar Homaei, Elizabeth Barry, Julien Cornebise, Ted Suzman, Deep Ganguli, Colin Megill

CoRR, 2023

Realistic but Non-Identifiable Synthetic User Data Generation.

Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran

Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), 2023

2022

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

Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities.

Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

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

CoRR, 2021

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems.

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

CoRR, 2021

2020

Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG.

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

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Gradient-Based Optimization for Bayesian Preference Elicitation.

Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2016

Order-Embeddings of Images and Language.

Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun

Proceedings of the 4th International Conference on Learning Representations, 2016

2014

Frabjous: A Declarative Domain-Specific Language for Agent-Based Modeling.

Ivan Vendrov, Christopher Dutchyn, Nathaniel D. Osgood

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014