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← Authors

Christoph Dann

30 papers · 2014–2025 · 9 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (11)
🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 👥 Mega-Team (20) 🔬 Deep Specialist (13) 🏆 Keyword Champion (2) 🗃️ Keyword Collector (118) ⚡ Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (30) 🔥 Unstoppable (12) 📈 Trend Setter ❓ The Questioner

Conferences

ICML (10) NIPS (10) ALT (3) JMLR (2) AAAI (1) CLEAR (1) COLT (1) EMNLP (1) IJCAI (1)

Top co-authors

Mehryar Mohri (7) Emma Brunskill (7) Alekh Agarwal (5) Julian Zimmert (5) Yishay Mansour (5) Claudio Gentile (3) Chen-Yu Wei (3) Ayush Sekhari (3) Aldo Pacchiano (2) Karthik Sridharan (2)

Keywords

regret bound (10) reinforcement learning (7) sample efficiency (4) multi-armed bandit (4) tabular mdp (3) model selection (3) episodic reinforcement learning (3) sub-optimality bound (2) rich observation (2) pac bound (2) optimistic algorithm (2) value function (2) sample complexity (2) policy optimization (2) markov decision process (2) gradient descent (2) pac learning (2) adversarial learning (2) cognitive modeling (1) bayesian nonparametrics (1)

Papers

Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective ICML 2025 Rate-Preserving Reductions for Blackwell Approachability COLT 2025 Design Considerations in Offline Preference-based RL ICML 2025 Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning EMNLP 2024 A Minimaximalist Approach to Reinforcement Learning from Human Feedback ICML 2024 Reinforcement Learning Can Be More Efficient with Multiple Rewards ICML 2023 Best of Both Worlds Policy Optimization ICML 2023 Pseudonorm Approachability and Applications to Regret Minimization ALT 2023 A Unified Algorithm for Stochastic Path Problems ALT 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Same Cause; Different Effects in the Brain CLEAR 2022 A Model Selection Approach for Corruption Robust Reinforcement Learning ALT 2022 Best of Both Worlds Model Selection NIPS 2022 Neural Active Learning with Performance Guarantees NIPS 2021 Dynamic Balancing for Model Selection in Bandits and RL ICML 2021 A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NIPS 2021 Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations NIPS 2021 Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning NIPS 2021 Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020 Reinforcement Learning with Feedback Graphs NIPS 2020 Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019 On Oracle-Efficient PAC RL with Rich Observations NIPS 2018 Decoupling Gradient-Like Learning Rules from Representations ICML 2018 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning NIPS 2017 Energetic Natural Gradient Descent ICML 2016 RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015 The Human Kernel NIPS 2015 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NIPS 2015 Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014