Ivan Vendrov

14 papers A* 4A 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value.
CoRR
Joe Edelman, Tan Zhi-Xuan, Ryan Lowe, Oliver Klingefjord, Vincent Wang-Mascianica, Matija Franklin, Ryan Othniel Kearns, Ellie Hain, Atrisha Sarkar, Michiel A. Bakker, Fazl Barez, David Duvenaud, Jakob N. Foerster, Iason Gabriel, Joseph Gubbels, Bryce Goodman, Andreas Haupt, Jobst Heitzig, Julian Jara-Ettinger, Atoosa Kasirzadeh, James Ravi Kirkpatrick, Andrew Koh, W. Bradley Knox, Philipp E. Koralus, Joel Lehman, Sydney Levine, Samuele Marro, Manon Revel, Toby Shorin, Morgan Sutherland, Michael Henry Tessler, Ivan Vendrov, James Wilken-Smith
2024 J jnl
Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors.
Trans. Recomm. Syst.
Christina Göpfert, Alex Haig, Chih-Wei Hsu, Yinlam Chow, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Hubert Pham, Mohammad Ghavamzadeh, Craig Boutilier
2023 J jnl
Opportunities and Risks of LLMs for Scalable Deliberation with Polis.
CoRR
Christopher T. Small, Ivan Vendrov, Esin Durmus, Hadjar Homaei, Elizabeth Barry, Julien Cornebise, Ted Suzman, Deep Ganguli, Colin Megill
2023 — conf
Realistic but Non-Identifiable Synthetic User Data Generation.
EvalRS@KDD
Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran
2022 A* conf
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors.
WWW
Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier
2022 J jnl
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors.
CoRR
Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier
2022 A* conf
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities.
AAAI
Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov
2021 J jnl
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems.
CoRR
Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier
2021 J jnl
What are you optimizing for? Aligning Recommender Systems with Human Values.
CoRR
Jonathan Stray, Ivan Vendrov, Jeremy Nixon, Steven Adler, Dylan Hadfield-Menell
2020 A conf
Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG.
RecSys
Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier
2020 A* conf
Gradient-Based Optimization for Bayesian Preference Elicitation.
AAAI
Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier
2019 J jnl
Gradient-based Optimization for Bayesian Preference Elicitation.
CoRR
Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier
2016 A* conf
Order-Embeddings of Images and Language.
ICLR
Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun
2014 — conf
Frabjous: A Declarative Domain-Specific Language for Agent-Based Modeling.
SBP
Ivan Vendrov, Christopher Dutchyn, Nathaniel D. Osgood