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Parnian Kassraie
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2020 – today
- 2026
- [i12]Daniel Yang, Samuel Stante, Florian Redhardt, Lena Libon, Parnian Kassraie, Ido Hakimi, Barna Pásztor, Andreas Krause:
RewardUQ: A Unified Framework for Uncertainty-Aware Reward Models. CoRR abs/2602.24040 (2026) - [i11]Sherif El Abd, Vaibhav Aggarwal, Robin Algayres, Alek Andreev, Olivier Bachem, Ian Ballantyne, Cormac Brick, Victor Carbune, Michelle Casbon
, Mayank Chaturvedi, Aditya Chawla, Victor Cotruta, Alice Coucke, Phil Culliton, Robert Dadashi, Lucas Dixon, Mohamed Elhawaty, Utku Evci, Clément Farabet, Johan Ferret, Filippo Galgani, Sertan Girgin, Jean-Bastien Grill, Maarten Grootendorst, Jiaxian Guo, Cassidy Hardin, Yanzhang He, Steven M. Hernandez, Omri Homburger, Léonard Hussenot, Ju-yeong Ji, Armand Joulin, Aishwarya Kamath, Parnian Kassraie, Olivier Lacombe, Preethi Lahoti, Gaël Liu, Gus Martins, Luciano Martins, Tatiana Matejovicova, Ramona Merhej, Nikola Momchev, Sneha Mondal, Ryan Mullins, Sindhu Raghuram Panyam, Shreya Pathak, Sarah Perrin, André Susano Pinto, Etienne Pot, Angéline Pouget, Alexandre Ramé, Sabela Ramos, Douglas Reid, David Rim, Morgane Rivière, Karsten Roth, Louis Rouillard, Omar Sanseviero, Pier Giuseppe Sessa, Shane Settle, Danila Sinopalnikov, Sara Smoot, Piotr Stanczyk, Andreas Steiner, Lawrence Stewart, Ilya O. Tolstikhin, Michael Tschannen, Anton Tsitsulin, Nino Vieillard, Renjie Wu, Pingmei Xu, Haichuan Yang, Edouard Yvinec, Biao Zhang, Li Zhang, Joe Zou, Nicolas Aagnes, Abdelrahman Abdelhamed, Jakub Adámek, Shivani Agrawal, Shubham Agrawal, Ibrahim Alabdulmohsin, Jean-Baptiste Alayrac, Uri Alon, Chandramouli Amarnath, Ankesh Anand, Chrysovalantis Anastasiou, Setareh Ariafar, François-Xavier Aubet, Kyriakos Axiotis, Federico Barbero, Joelle K. Barral, Alexei Bendebury, Urs Bergmann, Stanley Bileschi, Kat Black, Mathieu Blondel, Sebastian Borgeaud, Arthur Brazinskas:
Gemma 4 Technical Report. CoRR abs/2607.02770 (2026) - 2025
- [c10]Nicolas Menet, Jonas Hübotter, Parnian Kassraie, Andreas Krause:
LITE: Efficiently Estimating Gaussian Probability of Maximality. AISTATS 2025: 4996-5004 - [i10]Nicolas Menet, Jonas Hübotter, Parnian Kassraie, Andreas Krause:
LITE: Efficiently Estimating Gaussian Probability of Maximality. CoRR abs/2501.13535 (2025) - 2024
- [c9]Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi:
Progressive Entropic Optimal Transport Solvers. NeurIPS 2024 - [c8]Barna Pásztor, Parnian Kassraie, Andreas Krause:
Bandits with Preference Feedback: A Stackelberg Game Perspective. NeurIPS 2024 - [i9]Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi:
Progressive Entropic Optimal Transport Solvers. CoRR abs/2406.05061 (2024) - [i8]Barna Pásztor, Parnian Kassraie, Andreas Krause:
Bandits with Preference Feedback: A Stackelberg Game Perspective. CoRR abs/2406.16745 (2024) - 2023
- [j1]Songyan Hou, Parnian Kassraie, Anastasis Kratsios, Andreas Krause, Jonas Rothfuss:
Instance-Dependent Generalization Bounds via Optimal Transport. J. Mach. Learn. Res. 24: 349:1-349:51 (2023) - [c7]Parnian Kassraie, Nicolas Emmenegger, Andreas Krause, Aldo Pacchiano:
Anytime Model Selection in Linear Bandits. NeurIPS 2023 - [c6]Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause:
Hallucinated adversarial control for conservative offline policy evaluation. UAI 2023: 1774-1784 - [c5]Felix Schur, Parnian Kassraie, Jonas Rothfuss, Andreas Krause:
Lifelong bandit optimization: no prior and no regret. UAI 2023: 1847-1857 - [i7]Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause:
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation. CoRR abs/2303.01076 (2023) - [i6]Parnian Kassraie, Aldo Pacchiano, Nicolas Emmenegger, Andreas Krause:
Anytime Model Selection in Linear Bandits. CoRR abs/2307.12897 (2023) - 2022
- [c4]Parnian Kassraie, Andreas Krause:
Neural Contextual Bandits without Regret. AISTATS 2022: 240-278 - [c3]Parnian Kassraie, Jonas Rothfuss, Andreas Krause:
Meta-Learning Hypothesis Spaces for Sequential Decision-making. ICML 2022: 10802-10824 - [c2]Parnian Kassraie, Andreas Krause, Ilija Bogunovic:
Graph Neural Network Bandits. NeurIPS 2022 - [i5]Parnian Kassraie, Jonas Rothfuss, Andreas Krause:
Meta-Learning Hypothesis Spaces for Sequential Decision-making. CoRR abs/2202.00602 (2022) - [i4]Parnian Kassraie, Andreas Krause, Ilija Bogunovic:
Graph Neural Network Bandits. CoRR abs/2207.06456 (2022) - [i3]Felix Schur, Parnian Kassraie, Jonas Rothfuss, Andreas Krause:
Lifelong Bandit Optimization: No Prior and No Regret. CoRR abs/2210.15513 (2022) - [i2]Songyan Hou, Parnian Kassraie, Anastasis Kratsios, Jonas Rothfuss, Andreas Krause:
Instance-Dependent Generalization Bounds via Optimal Transport. CoRR abs/2211.01258 (2022) - 2021
- [i1]Parnian Kassraie, Andreas Krause:
Neural Contextual Bandits without Regret. CoRR abs/2107.03144 (2021)
2010 – 2019
- 2017
- [c1]Parnian Kassraie, Alireza Modirshanechi
Election Vote Share Prediction using a Sentiment-based Fusion of Twitter Data with Google Trends and Online Polls. DATA 2017: 363-370
Coauthor Index
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