Presentations

2024 Feb  will talk at AIDay
2022 Oct presented work on "Finding Safe Zones of Markov Decision Processes Policies", DeepMind.

2022 Sep presented work on "Tools for Explainable Machine Learning", Research Group, UCL Statistical Science.

2022 Aug Presented work on "Transparency in Markov Decision Processes", MSR NY ML Reading Group.

2022 Aug Guest lecture at summer course "Explainable AI with Python", TAU

2022 Presented work "Framework for Evaluating Faithfulness of Local Explanations", ICML. 

2022 Presented work "Finding Safe Zones of Markov Decision Processes Policies", HUJI. 

2021 Presented work "Connecting Interpretability and Robustness in Decision Trees through Separation", ICML.

2021 Presented work "Towards a Combinatorial Characterization of Bounded Memory Learning", NeurIPS. 

2021 Presented work "Unexpected Effects of Online K-means Clustering", ALT, WIML 2020.

2021 Presented work "Explainable k-Means and k-Medians Clustering", WiDS TLV.

2020 Presented work "Explainable k-means and k-medians Clustering", ICML. 

2020 Presented work "Unexpected Effects of Online no-Substitution k-means Clustering", Utah DataScience. 

2020 Presented at Information Theory and Applications (ITA), San-Diego.

2019 Presented at The University of Texas at Austin.

2019 Presented at Information Theory and Applications (ITA), San-Diego.

2018 Presented at IBM research, Israel.

2018 Presented at Google research, Israel.

2018 Presented work at ”Topics in Online Learning” meetup, Israel.

2018 Presented work at Technische Universitt Mnchen (TUM), Germany.

2018 Presented paper at ”Innovations in Theoretical Computer Science” (ITCS), MIT.

2017 Presented paper at ”Conference on Learning Theory” (COLT), Amsterdam.

2016 Presented my work at ”Women in Machine Learning” (WiML), Barcelona.

2016 Presented paper at ”European Workshop on Reinforcement Learning” (EWRL), Barcelona.

2010 Presented poster in the conference Women In Theory at Princeton University.