Ivan Vendrov

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 11

Top Topics

Matrix Factorization

Preference Elicitation

Formal Concept Analysis

Top Venues

Publications

Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran
Realistic but Non-Identifiable Synthetic User Data Generation. EvalRS@KDD (2023)
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 (2023)
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)
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 (2022)
Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. AAAI (2022)
Jonathan Stray, Ivan Vendrov, Jeremy Nixon, Steven Adler, Dylan Hadfield-Menell
What are you optimizing for? Aligning Recommender Systems with Human Values. CoRR (2021)
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 (2021)
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)
Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier
Gradient-Based Optimization for Bayesian Preference Elicitation. AAAI (2020)
Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier
Gradient-based Optimization for Bayesian Preference Elicitation. CoRR (2019)
Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun
Order-Embeddings of Images and Language. ICLR (2016)
Ivan Vendrov, Christopher Dutchyn, Nathaniel D. Osgood
Frabjous: A Declarative Domain-Specific Language for Agent-Based Modeling. SBP (2014)