Counterfactual explanations for optimization-based decisions in the context of the GDPR A Korikov, A Shleyfman, C Beck IJCAI 2021, 2021 | 19 | 2021 |
Counterfactual Explanations via Inverse Constraint Programming A Korikov, JC Beck 27th International Conference on Principles and Practice of Constraint …, 2021 | 11 | 2021 |
Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval MM Abdollah Pour, P Farinneya, A Toroghi, A Korikov, A Pesaranghader, ... European Conference on Information Retrieval, 3-17, 2023 | 6 | 2023 |
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) Y Deldjoo, Z He, J McAuley, A Korikov, S Sanner, A Ramisa, R Vidal, ... arXiv preprint arXiv:2404.00579, 2024 | 2 | 2024 |
Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval H Zhang, A Korikov, P Farinneya, MM Abdollah Pour, M Bharadwaj, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation DE Austin, A Korikov, A Toroghi, S Sanner arXiv preprint arXiv:2405.00981, 2024 | | 2024 |
Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval MMA Pour, P Farinneya, A Toroghi, A Korikov, A Pesaranghader, T Sajed, ... arXiv preprint arXiv:2308.00762, 2023 | | 2023 |
Objective-Based Counterfactual Explanations for Linear Discrete Optimization A Korikov, JC Beck International Conference on Integration of Constraint Programming …, 2023 | | 2023 |
Counterfactual Explanations for Discrete Optimization AP Korikov University of Toronto (Canada), 2022 | | 2022 |