Martin Strobel

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 18

Top Topics

Axiomatic Characterization

Machine Learning

Extended Abstract

Top Venues

Publications

Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri
On The Impact of Machine Learning Randomness on Group Fairness. CoRR (2023)
Xudong Shen, Hannah Brown, Jiashu Tao, Martin Strobel, Yao Tong, Akshay Narayan, Harold Soh, Finale Doshi-Velez
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities. CoRR (2023)
Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Martin Strobel, Balaji Lakshminarayanan, Deepak Ramachandran
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play. CoRR (2023)
Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri
On The Impact of Machine Learning Randomness on Group Fairness. FAccT (2023)
Martin Strobel, Reza Shokri
Data Privacy and Trustworthy Machine Learning. CoRR (2022)
Martin Strobel, Reza Shokri
Data Privacy and Trustworthy Machine Learning. IEEE Secur. Priv. 20 (5) (2022)
Neel Patel, Martin Strobel, Yair Zick
High Dimensional Model Explanations: An Axiomatic Approach. FAccT (2021)
Reza Shokri, Martin Strobel, Yair Zick
On the Privacy Risks of Model Explanations. AIES (2021)
Neel Patel, Martin Strobel, Yair Zick
High Dimensional Model Explanations: an Axiomatic Approach. CoRR (2020)
Jakub Sliwinski, Martin Strobel, Yair Zick
Axiomatic Characterization of Data-Driven Influence Measures for Classification. AAAI (2019)
Martin Strobel
Aspects of Transparency in Machine Learning. AAMAS (2019)
Reza Shokri, Martin Strobel, Yair Zick
Privacy Risks of Explaining Machine Learning Models. CoRR (2019)
Felix Brandt, Johannes Hofbauer, Martin Strobel
Exploring the No-Show Paradox for Condorcet Extensions Using Ehrhart Theory and Computer Simulations. AAMAS (2019)
Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong
Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. AAAI (2018)
Jakub Sliwinski, Martin Strobel, Yair Zick
An Axiomatic Approach to Linear Explanations in Data Classification. IUI Workshops (2018)
Martin Strobel
An Axiomatic Approach to Explain Computer Generated Decisions: Extended Abstract. AIES (2018)
Jakub Sliwinski, Martin Strobel, Yair Zick
A Characterization of Monotone Influence Measures for Data Classification. CoRR (2017)
Felix Brandt, Christian Geist, Martin Strobel
Analyzing the Practical Relevance of Voting Paradoxes via Ehrhart Theory, Computer Simulations, and Empirical Data. AAMAS (2016)
Florian Brandl, Felix Brandt, Martin Strobel
Fractional Hedonic Games: Individual and Group Stability. AAMAS (2015)