| Bursty gene expression in the intact mammalian liver KB Halpern, S Tanami, S Landen, M Chapal, L Szlak, A Hutzler, ... Molecular cell 58 (1), 147-156, 2015 | 271 | 2015 |
| Multi-player bandits–a musical chairs approach J Rosenski, O Shamir, L Szlak International Conference on Machine Learning, 155-163, 2016 | 188 | 2016 |
| Validity of machine learning in biology and medicine increased through collaborations across fields of expertise M Littmann, K Selig, L Cohen-Lavi, Y Frank, P Hönigschmid, E Kataka, ... Nature Machine Intelligence 2 (1), 18-24, 2020 | 64 | 2020 |
| Online learning with local permutations and delayed feedback O Shamir, L Szlak International Conference on Machine Learning, 3086-3094, 2017 | 21 | 2017 |
| Convergence results for Q-learning with experience replay L Szlak, O Shamir arXiv preprint arXiv:2112.04213, 2021 | 3 | 2021 |
| Replay For Safety L Szlak, O Shamir arXiv preprint arXiv:2112.04229, 2021 | 1 | 2021 |
| Comparing the efficacy of anti-seizure medications using matched cohorts on a large insurance claims database L Ness, L Szlak, F Benninger, S Ravid, M Chorev, M Rosen-Zvi, ... Epilepsy Research 201, 107313, 2024 | | 2024 |
| Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation L Ter-Minassian, L Szlak, E Karavani, C Holmes, Y Shimoni arXiv preprint arXiv:2401.17737, 2024 | | 2024 |
| Suboptimal and trait-like reinforcement learning strategies correlate with midbrain encoding of prediction errors L Szlak, K Aberg, R Paz arXiv preprint arXiv:2112.04327, 2021 | | 2021 |
