Liran Szlak

According to our database, Liran Szlak authored at least 6 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation.

Lucile Ter-Minassian, Liran Szlak, Ehud Karavani, Christopher C. Holmes, Yishai Shimoni

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2021

Replay For Safety.

Liran Szlak, Ohad Shamir

CoRR, 2021

Convergence Results For Q-Learning With Experience Replay.

Liran Szlak, Ohad Shamir

CoRR, 2021

2020

Validity of machine learning in biology and medicine increased through collaborations across fields of expertise.

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

Nat. Mach. Intell., 2020

2017

Online Learning with Local Permutations and Delayed Feedback.

Ohad Shamir, Liran Szlak

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Multi-Player Bandits - a Musical Chairs Approach.

Jonathan Rosenski, Ohad Shamir, Liran Szlak

Proceedings of the 33nd International Conference on Machine Learning, 2016