Election Vote Share Prediction using a Sentiment-based Fusion of Twitter Data with Google Trends and Online Polls. - Parnian Kassraie; Alireza Modirshanechi; Hamid K. Aghajan (DATA, 2017)

Neural Contextual Bandits without Regret. - Parnian Kassraie; Andreas Krause 001 (AISTATS, 2022)

Meta-Learning Hypothesis Spaces for Sequential Decision-making. - Parnian Kassraie; Jonas Rothfuss; Andreas Krause 001 (ICML, 2022)

Graph Neural Network Bandits. - Parnian Kassraie; Andreas Krause 001; Ilija Bogunovic (NeurIPS, 2022)

Anytime Model Selection in Linear Bandits. - Parnian Kassraie; Nicolas Emmenegger; Andreas Krause 001; Aldo Pacchiano (NeurIPS, 2023)

Hallucinated adversarial control for conservative offline policy evaluation. - Jonas Rothfuss; Bhavya Sukhija; Tobias Birchler; Parnian Kassraie; Andreas Krause 001 (UAI, 2023)

Lifelong bandit optimization: no prior and no regret. - Felix Schur; Parnian Kassraie; Jonas Rothfuss; Andreas Krause 001 (UAI, 2023)

Instance-Dependent Generalization Bounds via Optimal Transport. - Songyan Hou; Parnian Kassraie; Anastasis Kratsios; Andreas Krause 001; Jonas Rothfuss (J. Mach. Learn. Res., 2023)

Progressive Entropic Optimal Transport Solvers. - Parnian Kassraie; Aram-Alexandre Pooladian; Michal Klein; James Thornton; Jonathan Niles-Weed; Marco Cuturi (NeurIPS, 2024)

Bandits with Preference Feedback: A Stackelberg Game Perspective. - Barna Pásztor; Parnian Kassraie; Andreas Krause 001 (NeurIPS, 2024)

LITE: Efficiently Estimating Gaussian Probability of Maximality. - Nicolas Menet; Jonas Hübotter; Parnian Kassraie; Andreas Krause 001 (AISTATS, 2025)