| Simple regression models JM Lichtenberg, Ö Şimşek Imperfect decision makers: Admitting real-world rationality, 13-25, 2017 | 46 | 2017 |
| Regularization in directable environments with application to Tetris JM Lichtenberg, Ö Şimşek Proceedings of the 36th International Conference on Machine Learning 97 …, 2019 | 10 | 2019 |
| Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling A Buchholz, JM Lichtenberg, G Di Benedetto, Y Stein, V Bellini, M Ruffini arXiv preprint arXiv:2205.06024, 2022 | 8 | 2022 |
| Contextual position bias estimation using a single stochastic logging policy G Di Benedetto, A Buchholz, B London, M Jakimov, Y Stein, ... | 4 | 2023 |
| Large language models as recommender systems: A study of popularity bias JM Lichtenberg, A Buchholz, P Schwöbel Gen-IR@SIGIR24, 2024 | 2 | 2024 |
| Self-normalized off-policy estimators for ranking B London, A Buchholz, G Di Benedetto, JM Lichtenberg, Y Stein, ... CONSEQUENCES@RecSys23, 2023 | 2 | 2023 |
| Counterfactual ranking evaluation with flexible click models A Buchholz, B London, G Di Benedetto, JM Lichtenberg, Y Stein, ... Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 1 | 2024 |
| Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation JM Lichtenberg, A Buchholz, G Di Benedetto, M Ruffini, B London CONSEQUENCES@RecSys23, 2023 | 1 | 2023 |
| Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending JM Lichtenberg, G Di Benedetto, M Ruffini Proceedings of the 18th ACM Conference on Recommender Systems, 823-825, 2024 | | 2024 |
| Bounded Rationality in Reinforcement Learning JM Lichtenberg University of Bath, 2023 | | 2023 |
| Iterative Policy-Space Expansion in Reinforcement Learning JM Lichtenberg, Ö Şimşek Workshop on Biological and Artificial Reinforcement Learning at the 33rd …, 2019 | | 2019 |
| Bounded Rationality in Reinforcement Learning JM Lichtenberg | | |
Alexander BuchholzAmazonVerified email at amazon.de
