Christian Daniel

31 papers A* 9A 4B 2C 1Misc 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. ICLR Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann
2021	A*	`conf`	Bayesian Context Aggregation for Neural Processes. ICLR Michael Volpp, Fabian Flürenbrock, Lukas Großberger, Christian Daniel, Gerhard Neumann
2021	B	`conf`	SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. SOCS Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Christian Daniel
2021	J	`jnl`	SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. CoRR Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Christian Daniel, Dotan Di Castro
2020	A*	`conf`	Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. ICML Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
2020	J	`jnl`	Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. CoRR Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
2020	A*	`conf`	Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. ICLR Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel
2020	A	`conf`	Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. AISTATS Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
2020	J	`jnl`	Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. CoRR Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
2019	J	`jnl`	Meta-Learning Acquisition Functions for Bayesian Optimization. CoRR Michael Volpp, Lukas P. Fröhlich, Andreas Doerr, Frank Hutter, Christian Daniel
2019	A*	`conf`	Trajectory-Based Off-Policy Deep Reinforcement Learning. ICML Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
2019	J	`jnl`	Trajectory-Based Off-Policy Deep Reinforcement Learning. CoRR Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
2018	A*	`conf`	Probabilistic Recurrent State-Space Models. ICML Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
2018	J	`jnl`	Using probabilistic movement primitives in robotics. Auton. Robots Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann
2017	Misc	`conf`	Optimizing Long-term Predictions for Model-based Policy Search. CoRL Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
2016	J	`jnl`	Hierarchical Relative Entropy Policy Search. J. Mach. Learn. Res. Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters
2016	A*	`conf`	Learning Step Size Controllers for Robust Neural Network Training. AAAI Christian Daniel, Jonathan Taylor, Sebastian Nowozin
2016	—	`—`	Learning hierarchical policies from human ratings. Christian Daniel
2016	J	`jnl`	Probabilistic inference for determining options in reinforcement learning. Mach. Learn. Christian Daniel, Herke van Hoof, Jan Peters, Gerhard Neumann
2016	—	`conf`	Real-time extension of ROS based on a network of modular blocks for highly precise motion generation. AMC Christian Scheifele, Armin Lechler, Christian Daniel, Weiliang Xu
2015	J	`jnl`	Active reward learning with a novel acquisition function. Auton. Robots Christian Daniel, Oliver Kroemer, Malte Viering, Jan Metz, Jan Peters
2015	A	`conf`	Reinforcement learning vs human programming in tetherball robot games. IROS Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters
2015	A*	`conf`	Towards learning hierarchical skills for multi-phase manipulation tasks. ICRA Oliver Kroemer, Christian Daniel, Gerhard Neumann, Herke van Hoof, Jan Peters
2014	—	`conf`	Active Reward Learning. Robotics: Science and Systems Christian Daniel, Malte Viering, Jan Metz, Oliver Kroemer, Jan Peters
2014	J	`jnl`	Learning modular policies for robotics. Frontiers Comput. Neurosci. Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Gabor Kupcsik, Jan Peters
2013	B	`conf`	Autonomous reinforcement learning with hierarchical REPS. IJCNN Christian Daniel, Gerhard Neumann, Jan Peters
2013	A*	`conf`	Learning sequential motor tasks. ICRA Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters
2013	—	`conf`	Probabilistic Movement Primitives. NIPS Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann
2012	A	`conf`	Hierarchical Relative Entropy Policy Search. AISTATS Christian Daniel, Gerhard Neumann, Jan Peters
2012	A	`conf`	Learning concurrent motor skills in versatile solution spaces. IROS Christian Daniel, Gerhard Neumann, Jan Peters
2010	C	`conf`	Iterative SLE Solvers over a CPU-GPU Platform. HPCC Alécio Pedro Delazari Binotto, Christian Daniel, Daniel Weber, Arjan Kuijper, André Stork, Carlos Eduardo Pereira, Dieter W. Fellner