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].

Instance-Dependent Generalization Bounds via Optimal Transport

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

Journal of Machine Learning Research, 2023 (to appear)

Anytime Model Selection in Linear Bandits

Parnian Kassraie, Nicolas Emmenegger, Andreas Krause, Aldo Pacchiano

In Conference on Neural Information Processing Systems (NeurIPS), 2023
Also in PAC-Bayes Meets Interactive Learning Workshop at ICML, 2023 (Oral)

Model-Based Optimization over Large Molecular Spaces

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

In ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2023
Also In NeurIPS Workshop on AI for Drug Discovery, 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

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, Nicolas Emmenegger, Andreas Krause, Aldo Pacchiano

In Conference on Neural Information Processing Systems (NeurIPS), 2023
Also in PAC-Bayes Meets Interactive Learning Workshop at ICML, 2023 (Oral)

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

Instance-Dependent Generalization Bounds via Optimal Transport

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

Journal of Machine Learning Research, 2023 (to appear)

Model-Based Optimization over Large Molecular Spaces

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

In ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2023
Also In NeurIPS Workshop on AI for Drug Discovery, 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

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

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