Parnian Kassraie PhD Student parnian.kassraie@inf.ethz.ch OAT Y 17 LinkedIn External Website I work on foundations of Machine Learning, in the context of sequential decision-making and Meta-learning. Publications 2023 Anytime Model Selection in Linear Bandits P. Kassraie, N. Emmenegger, A. Krause, A. PacchianoIn Proc. Neural Information Processing Systems (NeurIPS), 2023Oral presentation at PAC-Bayes Meets Interactive Learning Workshop at ICML, and at the Royal Statistical Society International Conference[bibtex] [abstract] [pdf] Instance-Dependent Generalization Bounds via Optimal Transport S. Hou*, P. Kassraie*, A. Kratsios*, J. Rothfuss*, A. KrauseIn Journal of Machine Learning Research, 2023[bibtex] [abstract] [pdf] Lifelong Bandit Optimization: No Prior and No Regret F. Schur*, P. Kassraie*, J. Rothfuss, A. KrauseIn Conference on Uncertainty in Artificial Intelligence (UAI), 2023[bibtex] [abstract] [pdf] Hallucinated Adversarial Control for Conservative Offline Policy Evaluation J. Rothfuss*, B. Sukhija*, T. Birchler*, P. Kassraie, A. KrauseIn Conference on Uncertainty in Artificial Intelligence (UAI), 2023[bibtex] [abstract] [pdf] 2022 Graph Neural Network Bandits P. Kassraie, A. Krause, I. BogunovicIn Proc. Neural Information Processing Systems (NeurIPS), 2022[bibtex] [abstract] [pdf] Meta-Learning Hypothesis Spaces for Sequential Decision-making P. Kassraie, J. Rothfuss, A. KrauseIn Proc. International Conference on Machine Learning (ICML), 2022[bibtex] [abstract] [pdf] Neural Contextual Bandits without Regret P. Kassraie, A. KrauseIn Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2022[bibtex] [abstract] [pdf]
