Christoph Dann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
7
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLT | Rate-Preserving Reductions for Blackwell Approachability. | Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan |
| 2025 | ICML | Design Considerations in Offline Preference-based RL. | Alekh Agarwal, Christoph Dann, Teodor Vanislavov Marinov |
| 2025 | ICML | Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective. | Jiawei Huang, Bingcong Li, Christoph Dann, Niao He |
| 2024 | AISTATS | Data-Driven Online Model Selection With Regret Guarantees. | Christoph Dann, Claudio Gentile, Aldo Pacchiano |
| 2024 | EMNLP | Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. | Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ram, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Lonard Hussenot, Olivier Bachem, Edouard Leurent |
| 2024 | ICML | A Minimaximalist Approach to Reinforcement Learning from Human Feedback. | Gokul Swamy, Christoph Dann, Rahul Kidambi, Steven Wu, Alekh Agarwal |
| 2023 | AISTATS | Multiple-policy High-confidence Policy Evaluation. | Christoph Dann, Mohammad Ghavamzadeh, Teodor V. Marinov |
| 2023 | ALT | Pseudonorm Approachability and Applications to Regret Minimization. | Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan |
| 2023 | ALT | A Unified Algorithm for Stochastic Path Problems. | Christoph Dann, Chen-Yu Wei, Julian Zimmert |
| 2023 | COLT | A Blackbox Approach to Best of Both Worlds in Bandits and Beyond. | Christoph Dann, Chen-Yu Wei, Julian Zimmert |
| 2023 | ICML | Learning in POMDPs is Sample-Efficient with Hindsight Observability. | Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang |
| 2023 | ICML | Reinforcement Learning Can Be More Efficient with Multiple Rewards. | Christoph Dann, Yishay Mansour, Mehryar Mohri |
| 2023 | ICML | Best of Both Worlds Policy Optimization. | Christoph Dann, Chen-Yu Wei, Julian Zimmert |
| 2022 | ALT | Leveraging Initial Hints for Free in Stochastic Linear Bandits. | Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Qiuyi (Richard) Zhang |
| 2022 | ALT | A Model Selection Approach for Corruption Robust Reinforcement Learning. | Chen-Yu Wei, Christoph Dann, Julian Zimmert |
| 2022 | ICML | Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. | Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan |
| 2021 | ICML | Dynamic Balancing for Model Selection in Bandits and RL. | Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Claudio Gentile, Aldo Pacchiano, Manish Purohit |
| 2020 | AAAI | Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy. | Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill |
| 2019 | ICML | Policy Certificates: Towards Accountable Reinforcement Learning. | Christoph Dann, Lihong Li, Wei Wei, Emma Brunskill |
| 2018 | ICML | Decoupling Gradient-Like Learning Rules from Representations. | Philip S. Thomas, Christoph Dann, Emma Brunskill |
| 2017 | IJCAI | Sample Efficient Policy Search for Optimal Stopping Domains. | Karan Goel, Christoph Dann, Emma Brunskill |
| 2016 | ICML | Energetic Natural Gradient Descent. | Philip S. Thomas, Bruno Castro da Silva, Christoph Dann, Emma Brunskill |