Tal Lancewicki
I'm a PhD student at the Department of Computer Science at Tel Aviv University, advised by Prof. Yishay Mansour. Prior to that, I obtained my B.Sc. in Mathematics and Economics from the Hebrew University of Jerusalem.
My research interest is in Machine Learning, with a focus on Online Learning, Multi-armed Bandits, and Reinforcement Learning.
Publications
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs
Dirk van der Hoeven, Lukas Zierahn, Tal Lancewicki, Aviv Rosenberg, Nicoló Cesa-Bianchi
COLT 2023
[arxiv]Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback.
Tal Lancewicki, Aviv Rosenberg, Dmitry Sotnikov.
ICML 2023
[arxiv]Regret Minimization and Convergence to Equilibria in General-sum Markov.
Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour.
ICML 2023
[arxiv]Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback.
Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg.
NeurIPS 2022, CFOL workshop @ ICML 2022 (Oral), EWRL 2022
[arxiv]Cooperative Online Learning in Stochastic and Adversarial MDPs.
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour.
ICML 2022 (Oral), LSA workshop @ AAMAS 2022 (Oral), EWRL 2022
[arxiv]Learning Adversarial Markov Decision Processes with Delayed Feedback.
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour.
AAAI 2022, Workshop on RL Theory @ ICML 2021
[arxiv]Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions.
Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour.
ICML 2021
[arxiv]
Teaching
Introduction to Machine Learning, Tel Aviv University, Spring 2022 (TA).
Introduction to Machine Learning, Tel Aviv University, Fall 2021 (TA).
Introduction to Machine Learning, Tel Aviv University, Spring 2021 (TA).
Discrete Mathematics, Tel Aviv University, Fall 2019 (TA).