Parnian Kassraie

Ph.D. Student, ETH Zurich

pkassraie [AT] ethz.ch

Bio

I am a 2nd year Ph.D. student at the department of Computer Science at ETH Zurich, fortunate to be advised by Andreas Krause and Peter Bühlmann. I am a member of ETH Institute for Machine Learning and associated with the ETH AI Center. I am interested in statistics, optimization, and theory of Machine Learning, often in the context of sequential decision-making and online learning.

I completed my M.Sc. at ETH, under the supervision of Andreas Krause and Fanny Yang, with a thesis on Contextual Neural Bandits. Before coming to ETH, I did a dual B.Sc. in Electrical Engineering and Computer Science at Sharif University of Technology. My thesis was on Visualizing Adversarial Attacks on Convolutional Neural Networks, which I wrote with Nassir Navab and Federico Tombari at TU Munich.

Publications

My work focuses on sample-efficient sequential decision-making in rich and structured domains. To address these problems, I adapt tools from deep learning [NN] and meta-learning/high-dimensional statistics [META].

Anytime Model Selection in Linear Bandits

Parnian Kassraie, Aldo Pacchiano, Nicolas Emmenegger, Andreas Krause

In Conference on Neural Information Processing Systems (NeurIPS), 2023

Graph Neural Network Powered Bayesian Optimization for Large Molecular Spaces

Miles Wang-Henderson*, Bartu Soyuer*, Parnian Kassraie, Andreas Krause, Ilija Bogunovic

In ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2023

Hallucinated Adversarial Control for Conservative Offline Policy Evaluation

Jonas Rothfuss*, Bhavya Sukhija*, Tobias Birchler*, Parnian Kassraie, Andreas Krause

In Conference on Uncertainty in Artificial Intelligence (UAI), 2023

Lifelong Bandit Optimization: No prior and No Regret

Felix Schur*, Parnian Kassraie*, Jonas Rothfuss, Andreas Krause

In Conference on Uncertainty in Artificial Intelligence (UAI), 2023

Instance-Dependent Generalization Bounds via Optimal Transport

Songyan Hou*, Parnian Kassraie*, Anastasis Kratsios*, Jonas Rothfuss*, Andreas Krause

arXiv Preprint, 2022

Graph Neural Network Bandits

Parnian Kassraie, Andreas Krause, Ilija Bogunovic

In Conference on Neural Information Processing Systems (NeurIPS), 2022

Meta-Learning Hypothesis Spaces for Sequential Decision-making

Parnian Kassraie, Jonas Rothfuss, Andreas Krause

In International Conference on Machine Learning (ICML), 2022

Also in Safe, Anytime-Valid Inference workshop (SAVI), 2022
Also in Adaptive Experimental Design and Active Learning Workshop (ReALML), 2022

Neural Contextual Bandits without Regret

Parnian Kassraie, Andreas Krause

In International Conference on Artificial Intelligence and Statistics (AISTATS), 2022

Anytime Model Selection in Linear Bandits

Parnian Kassraie, Aldo Pacchiano, Nicolas Emmenegger, Andreas Krause

In Conference on Neural Information Processing Systems (NeurIPS), 2023

Lifelong Bandit Optimization: No prior and No Regret

Felix Schur*, Parnian Kassraie*, Jonas Rothfuss, Andreas Krause

In Conference on Uncertainty in Artificial Intelligence (UAI), 2023

Meta-Learning Hypothesis Spaces for Sequential Decision-making

Parnian Kassraie, Jonas Rothfuss, Andreas Krause

In International Conference on Machine Learning (ICML), 2022

Also in Safe, Anytime-Valid Inference workshop (SAVI), 2022
Also in Adaptive Experimental Design and Active Learning Workshop (ReALML), 2022

Graph Neural Network Powered Bayesian Optimization for Large Molecular Spaces

Miles Wang-Henderson*, Bartu Soyuer*, Parnian Kassraie, Andreas Krause, Ilija Bogunovic

In ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2023

Hallucinated Adversarial Control for Conservative Offline Policy Evaluation

Jonas Rothfuss*, Bhavya Sukhija*, Tobias Birchler*, Parnian Kassraie, Andreas Krause

In Conference on Uncertainty in Artificial Intelligence (UAI), 2023

Instance-Dependent Generalization Bounds via Optimal Transport

Songyan Hou*, Parnian Kassraie*, Anastasis Kratsios*, Jonas Rothfuss*, Andreas Krause

arXiv Preprint, 2022

Graph Neural Network Bandits

Parnian Kassraie, Andreas Krause, Ilija Bogunovic

In Conference on Neural Information Processing Systems (NeurIPS), 2022

Neural Contextual Bandits without Regret

Parnian Kassraie, Andreas Krause

In International Conference on Artificial Intelligence and Statistics (AISTATS), 2022

News

I made this webpage using Martin Saveski's template, available here.