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ORCIDLiran Szlak
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2020 – today
- 2024
[i5]Lucile Ter-Minassian, Liran Szlak, Ehud Karavani, Chris C. Holmes, Yishai Shimoni:
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation. CoRR abs/2401.17737 (2024)- 2021
- [i4]Liran Szlak, Ohad Shamir:
Convergence Results For Q-Learning With Experience Replay. CoRR abs/2112.04213 (2021) - [i3]Liran Szlak, Ohad Shamir:
Replay For Safety. CoRR abs/2112.04229 (2021) - 2020
- [j1]Maria Littmann
, Katharina Selig, Liel Cohen-Lavi, Yotam Frank, Peter Hönigschmid, Evans Kataka, Anja Mösch, Kun Qian, Avihai Ron, Sebastian Schmid, Adam Sorbie, Liran Szlak, Ayana Dagan-Wiener, Nir Ben-Tal, Masha Y. Niv, Daniel Razansky, Björn W. Schuller, Donna P. Ankerst, Tomer Hertz, Burkhard Rost:
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise. Nat. Mach. Intell. 2(1): 18-24 (2020)
2010 – 2019
- 2017
- [c2]Ohad Shamir, Liran Szlak:
Online Learning with Local Permutations and Delayed Feedback. ICML 2017: 3086-3094 - [i2]Ohad Shamir, Liran Szlak:
Online Learning with Local Permutations and Delayed Feedback. CoRR abs/1703.04274 (2017) - 2016
- [c1]Jonathan Rosenski, Ohad Shamir, Liran Szlak:
Multi-Player Bandits - a Musical Chairs Approach. ICML 2016: 155-163 - 2015
- [i1]Jonathan Rosenski, Ohad Shamir, Liran Szlak:
Multi-Player Bandits - a Musical Chairs Approach. CoRR abs/1512.02866 (2015)
Coauthor Index
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