Johannes Kirschner

34 papers A* 10A 2B 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans. CoRR Jingwen Wang, Johannes Kirschner, Paul Rolland, Luis Salamanca, Stefana Parascho
2026	J	`jnl`	Principled Confidence Estimation for Deep Computed Tomography. CoRR Matteo Gätzner, Johannes Kirschner
2025	J	`jnl`	Confidence Estimation via Sequential Likelihood Mixing. CoRR Johannes Kirschner, Andreas Krause, Michele Meziu, Mojmir Mutny
2025	J	`jnl`	Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography. CoRR Luis Barba, Johannes Kirschner, Tomas Aidukas, Manuel Guizar-Sicairos, Benjamín Béjar
2024	J	`jnl`	Regret Minimization via Saddle Point Optimization. CoRR Johannes Kirschner, Seyed Alireza Bakhtiari, Kushagra Chandak, Volodymyr Tkachuk, Csaba Szepesvári
2023	A	`conf`	Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. AISTATS Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári
2023	J	`jnl`	Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. CoRR Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári
2023	J	`jnl`	Linear Partial Monitoring for Sequential Decision Making: Algorithms, Regret Bounds and Applications. J. Mach. Learn. Res. Johannes Kirschner, Tor Lattimore, Andreas Krause
2023	J	`jnl`	Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications. CoRR Johannes Kirschner, Tor Lattimore, Andreas Krause
2023	A*	`conf`	Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. NeurIPS Zichen Vincent Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
2023	A*	`conf`	Near-optimal Policy Identification in Active Reinforcement Learning. ICLR Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
2023	A*	`conf`	Regret Minimization via Saddle Point Optimization. NeurIPS Johannes Kirschner, Seyed Alireza Bakhtiari, Kushagra Chandak, Volodymyr Tkachuk, Csaba Szepesvári
2022	J	`jnl`	Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. CoRR Zichen Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
2022	J	`jnl`	Near-optimal Policy Identification in Active Reinforcement Learning. CoRR Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
2022	J	`jnl`	Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization. CoRR Johannes Kirschner, Mojmír Mutný, Andreas Krause, Jaime Coello de Portugal, Nicole Hiller, Jochem Snuverink
2021	A*	`conf`	Asymptotically Optimal Information-Directed Sampling. COLT Johannes Kirschner, Tor Lattimore, Claire Vernade, Csaba Szepesvári
2021	J	`jnl`	Bias-Robust Bayesian Optimization via Dueling Bandit. CoRR Johannes Kirschner, Andreas Krause
2021	A*	`conf`	Bias-Robust Bayesian Optimization via Dueling Bandits. ICML Johannes Kirschner, Andreas Krause
2021	B	`conf`	Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback. ALT Marc Jourdan, Mojmír Mutný, Johannes Kirschner, Andreas Krause
2021	J	`jnl`	Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback. CoRR Marc Jourdan, Mojmír Mutný, Johannes Kirschner, Andreas Krause
2021	—	`—`	Information-Directed Sampling - Frequentist Analysis and Applications. Johannes Kirschner
2020	J	`jnl`	Asymptotically Optimal Information-Directed Sampling. CoRR Johannes Kirschner, Tor Lattimore, Claire Vernade, Csaba Szepesvári
2020	A	`conf`	Distributionally Robust Bayesian Optimization. AISTATS Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause
2020	J	`jnl`	Distributionally Robust Bayesian Optimization. CoRR Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause
2020	A*	`conf`	Experimental Design for Optimization of Orthogonal Projection Pursuit Models. AAAI Mojmir Mutny, Johannes Kirschner, Andreas Krause
2020	A*	`conf`	Information Directed Sampling for Linear Partial Monitoring. COLT Johannes Kirschner, Tor Lattimore, Andreas Krause
2020	J	`jnl`	Information Directed Sampling for Linear Partial Monitoring. CoRR Johannes Kirschner, Tor Lattimore, Andreas Krause
2019	A*	`conf`	Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces. ICML Johannes Kirschner, Mojmir Mutny, Nicole Hiller, Rasmus Ischebeck, Andreas Krause
2019	J	`jnl`	Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces. CoRR Johannes Kirschner, Mojmír Mutný, Nicole Hiller, Rasmus Ischebeck, Andreas Krause
2019	—	`conf`	Information-Directed Exploration for Deep Reinforcement Learning. ICLR (Poster) Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause
2019	A*	`conf`	Stochastic Bandits with Context Distributions. NeurIPS Johannes Kirschner, Andreas Krause
2019	J	`jnl`	Stochastic Bandits with Context Distributions. CoRR Johannes Kirschner, Andreas Krause
2018	A*	`conf`	Information Directed Sampling and Bandits with Heteroscedastic Noise. COLT Johannes Kirschner, Andreas Krause
2018	J	`jnl`	Information-Directed Exploration for Deep Reinforcement Learning. CoRR Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause