about
I am a first-year PhD student at MIT, in the Operations Research Center, where I am fortunate to be advised by Chara Podimata. I currently work on statistical and causal inference in settings with strategic agents. I am also interested in algorithmic governance and AI policy. Previously, I was an undergrad and master's student at ETH Zürich, where I was lucky to be part of the Learning and Adaptive Systems group of Andreas Krause. There, I worked on uncertainty quantification for sequentially gathered data. During my studies I was generously supported by the Zeno-Karl Schindler Foundation and the Swiss Study Foundation.
papers
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Nicolas Emmenegger*; Mojmír Mutný*; Andreas Krause Likelihood Ratio Confidence Sets for Sequential Decision Making. In Conference on Neural Information Processing Systems (NeurIPS 2023).
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Parnian Kassraie; Nicolas Emmenegger; Andreas Krause Anytime Model Selection in Linear Bandits. In Conference on Neural Information Processing Systems (NeurIPS 2023).
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Nicolas Emmenegger; Rasmus Kyng; Ahad. N. Zehmakan On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization. In International Conference on Artificial Intelligence and Statistics (AISTATS 2022).
