Ivan Vendrov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2020–2023
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | KDD | Realistic but Non-Identifiable Synthetic User Data Generation. | Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran |
| 2022 | AAAI | Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. | Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov |
| 2022 | WWW | Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. | Christina Gpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier |
| 2020 | AAAI | Gradient-Based Optimization for Bayesian Preference Elicitation. | Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier |
| 2020 | RecSys | 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 |