Kamil Ciosek - RankMe

52 papers A* 15A 3Journal 33Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Richer Bayesian Last Layers with Subsampled NTK Features. CoRR Sergio Calvo-Ordoñez, Jonathan Plenk, Richard Bergna, Álvaro Cartea, Yarin Gal, José Miguel Hernández-Lobato, Kamil Ciosek
2025	J	`jnl`	Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy. CoRR Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian
2025	J	`jnl`	Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy. Trans. Mach. Learn. Res. Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian
2025	J	`jnl`	Impatient Bandits: Optimizing for the Long-Term Without Delay. CoRR Kelly W. Zhang, Thomas Baldwin-McDonald, Kamil Ciosek, Lucas Maystre, Daniel Russo
2025	J	`jnl`	Linear Gradient Prediction with Control Variates. CoRR Kamil Ciosek, Nicolò Felicioni, Juan Elenter Litwin
2025	J	`jnl`	Measuring Uncertainty Calibration. CoRR Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian, Juan Elenter Litwin, Francesco Tonolini, David Gustaffson, Eva Garcia Martin, Carmen Barcena Gonzales, Raphaëlle Bertrand-Lalo
2025	J	`jnl`	Observation Noise and Initialization in Wide Neural Networks. CoRR Sergio Calvo-Ordoñez, Jonathan Plenk, Richard Bergna, Álvaro Cartea, José Miguel Hernández-Lobato, Konstantina Palla, Kamil Ciosek
2025	J	`jnl`	When Embedding Models Meet: Procrustes Bounds and Applications. CoRR Lucas Maystre, Alvaro Ortega Gonzalez, Charles Park, Rares Dolga, Tudor Berariu, Yu Zhao, Kamil Ciosek
2024	J	`jnl`	Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel. CoRR Sergio Calvo-Ordoñez, Konstantina Palla, Kamil Ciosek
2024	J	`jnl`	On the Importance of Uncertainty in Decision-Making with Large Language Models. CoRR Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek
2024	J	`jnl`	On the Importance of Uncertainty in Decision-Making with Large Language Models. Trans. Mach. Learn. Res. Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek
2023	J	`jnl`	A Strong Baseline for Batch Imitation Learning. CoRR Matthew Smith, Lucas Maystre, Zhenwen Dai, Kamil Ciosek
2023	A*	`conf`	Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. KDD Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai
2023	J	`jnl`	Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. CoRR Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai
2023	A*	`conf`	Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. KDD Thomas M. McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek
2023	J	`jnl`	Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay. CoRR Thomas M. McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek
2022	A*	`conf`	Imitation Learning by Reinforcement Learning. ICLR Kamil Ciosek
2021	A	`conf`	Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. AAMAS Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
2021	J	`jnl`	Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. CoRR Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann
2021	A*	`conf`	Estimating α-Rank by Maximizing Information Gain. AAAI Tabish Rashid, Cheng Zhang, Kamil Ciosek
2021	J	`jnl`	Estimating α-Rank by Maximizing Information Gain. CoRR Tabish Rashid, Cheng Zhang, Kamil Ciosek
2021	A	`conf`	Evaluating the Robustness of Collaborative Agents. AAMAS Paul A. Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
2021	J	`jnl`	Evaluating the Robustness of Collaborative Agents. CoRR Paul A. Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah
2021	J	`jnl`	Imitation Learning by Reinforcement Learning. CoRR Kamil Ciosek
2021	A*	`conf`	Information Directed Reward Learning for Reinforcement Learning. NeurIPS David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
2021	J	`jnl`	Information Directed Reward Learning for Reinforcement Learning. CoRR David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
2021	A	`conf`	Regularized Policies are Reward Robust. AISTATS Hisham Husain, Kamil Ciosek, Ryota Tomioka
2021	J	`jnl`	Regularized Policies are Reward Robust. CoRR Hisham Husain, Kamil Ciosek, Ryota Tomioka
2020	A*	`conf`	AMRL: Aggregated Memory For Reinforcement Learning. ICLR Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
2020	A*	`conf`	Conservative Uncertainty Estimation By Fitting Prior Networks. ICLR Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard E. Turner
2020	J	`jnl`	DRIFT: Deep Reinforcement Learning for Functional Software Testing. CoRR Luke Harries, Rebekah Storan Clarke, Timothy Chapman, Swamy V. P. L. N. Nallamalli, Levent Özgür, Shuktika Jain, Alex Leung, Steve Lim, Aaron Dietrich, José Miguel Hernández-Lobato, Tom Ellis, Cheng Zhang, Kamil Ciosek
2020	A*	`conf`	Discount Factor as a Regularizer in Reinforcement Learning. ICML Ron Amit, Ron Meir, Kamil Ciosek
2020	J	`jnl`	Discount Factor as a Regularizer in Reinforcement Learning. CoRR Ron Amit, Ron Meir, Kamil Ciosek
2020	J	`jnl`	Expected Policy Gradients for Reinforcement Learning. J. Mach. Learn. Res. Kamil Ciosek, Shimon Whiteson
2020	A*	`conf`	Multi-task Batch Reinforcement Learning with Metric Learning. NeurIPS Jiachen Li, Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Henrik I. Christensen, Hao Su
2020	J	`jnl`	Robust Reinforcement Learning with Bayesian Optimisation and Quadrature. J. Mach. Learn. Res. Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson
2019	A*	`conf`	Better Exploration with Optimistic Actor Critic. NeurIPS Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann
2019	J	`jnl`	Better Exploration with Optimistic Actor-Critic. CoRR Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann
2019	A*	`conf`	Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck. NeurIPS Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
2019	J	`jnl`	Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck. CoRR Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
2019	J	`jnl`	Pre-training as Batch Meta Reinforcement Learning with tiMe. CoRR Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Hao Su, Henrik Iskov Christensen
2018	A*	`conf`	Alternating Optimisation and Quadrature for Robust Control. AAAI Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson
2018	J	`jnl`	Expected Policy Gradients for Reinforcement Learning. CoRR Kamil Ciosek, Shimon Whiteson
2018	A*	`conf`	Expected Policy Gradients. AAAI Kamil Ciosek, Shimon Whiteson
2018	A*	`conf`	Fourier Policy Gradients. ICML Matthew Fellows, Kamil Ciosek, Shimon Whiteson
2018	J	`jnl`	Fourier Policy Gradients. CoRR Matthew Fellows, Kamil Ciosek, Shimon Whiteson
2017	J	`jnl`	Expected Policy Gradients. CoRR Kamil Ciosek, Shimon Whiteson
2016	J	`jnl`	Alternating Optimisation and Quadrature for Robust Reinforcement Learning. CoRR Supratik Paul, Kamil Ciosek, Michael A. Osborne, Shimon Whiteson
2015	J	`jnl`	Value Iteration with Options and State Aggregation. CoRR Kamil Ciosek, David Silver
2013	J	`jnl`	Properties of the Least Squares Temporal Difference learning algorithm CoRR Kamil Ciosek
2012	A*	`conf`	Compositional Planning Using Optimal Option Models. ICML David Silver, Kamil Ciosek
2009	—	`conf`	Generating 3D Plants using Lindenmayer System. GRAPP Kamil Ciosek, Pawel Kotowski