Katja Hofmann - RankMe

163 papers A* 32A 26B 1C 2Misc 2Journal 74Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When does predictive inverse dynamics outperform behavior cloning? CoRR Lukas Schäfer, Pallavi Choudhury, Abdelhak Lemkhenter, Chris Lovett, Somjit Nath, Luis França, Matheus Ribeiro Furtado de Mendonca, Alex Lamb, Riashat Islam, Siddhartha Sen, John Langford, Katja Hofmann, Sergio Valcarcel Macua
2025	J	`jnl`	Adapting Vision-Language Models for Evaluating World Models. CoRR Mariya Hendriksen, Tabish Rashid, David Bignell, Raluca Georgescu, Abdelhak Lemkhenter, Katja Hofmann, Sam Devlin, Sarah Parisot
2025	J	`jnl`	Fast Autoregressive Video Generation with Diagonal Decoding. CoRR Yang Ye, Junliang Guo, Haoyu Wu, Tianyu He, Tim Pearce, Tabish Rashid, Katja Hofmann, Jiang Bian
2025	A*	`conf`	Scaling Laws for Pre-training Agents and World Models. ICML Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann
2025	J	`jnl`	World and Human Action Models towards gameplay ideation. Nat. Anssi Kanervisto, David Bignell, Linda Yilin Wen, Martin Grayson, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce, Yuhan Cao, Abdelhak Lemkhenter, Chentian Jiang, Gavin Costello, Gunshi Gupta, Marko Tot, Shu Ishida, Tarun Gupta, Udit Arora, Ryen W. White, Sam Devlin, Cecily Morrison, Katja Hofmann
2024	A	`conf`	Learning Safety Constraints from Demonstrations with Unknown Rewards. AISTATS David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
2024	J	`jnl`	Scaling Laws for Pre-training Agents and World Models. CoRR Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann
2024	J	`jnl`	Toward Human-AI Alignment in Large-Scale Multi-Player Games. CoRR Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
2024	J	`jnl`	Transformer Neural Autoregressive Flows. CoRR Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E. Turner
2023	—	`conf`	Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoLLAs Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner
2023	J	`jnl`	Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoRR Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner
2023	A*	`conf`	Imitating Human Behaviour with Diffusion Models. ICLR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	J	`jnl`	Imitating Human Behaviour with Diffusion Models. CoRR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	J	`jnl`	Learning Safety Constraints from Demonstrations with Unknown Rewards. CoRR David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
2023	A*	`conf`	Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. CHI Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
2023	J	`jnl`	Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. CoRR Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
2023	A	`conf`	Trust Region Bounds for Decentralized PPO Under Non-stationarity. AAMAS Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
2023	J	`jnl`	Trust-Region-Free Policy Optimization for Stochastic Policies. CoRR Mingfei Sun, Benjamin Ellis, Anuj Mahajan, Sam Devlin, Katja Hofmann, Shimon Whiteson
2022	A*	`conf`	Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. NeurIPS Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2022	J	`jnl`	Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. CoRR Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2022	A*	`conf`	Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. AAAI Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2022	—	`conf`	How Humans Perceive Human-like Behavior in Video Game Navigation. CHI Extended Abstracts Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Georgescu, Ida Momennejad, David Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann
2022	J	`jnl`	Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. CoRR Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Marc-Alexandre Côté, Katja Hofmann, Ahmed Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim
2022	A*	`conf`	Interactively Learning Preference Constraints in Linear Bandits. ICML David Lindner, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
2022	J	`jnl`	Interactively Learning Preference Constraints in Linear Bandits. CoRR David Lindner, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
2022	J	`jnl`	Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO. CoRR Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2022	J	`jnl`	Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers. CoRR Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	J	`jnl`	UniMASK: Unified Inference in Sequential Decision Problems. CoRR Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	A*	`conf`	Uni[MASK]: Unified Inference in Sequential Decision Problems. NeurIPS Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	J	`jnl`	You May Not Need Ratio Clipping in PPO. CoRR Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson
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	J	`jnl`	Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. CoRR Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2021	A	`conf`	Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors. ASSETS Lida Theodorou, Daniela Massiceti, Luisa M. Zintgraf, Simone Stumpf, Cecily Morrison, Edward Cutrell, Matthew Tobias Harris, Katja Hofmann
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	A*	`conf`	Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. ICML Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
2021	A*	`conf`	Grounding Spatio-Temporal Language with Transformers. NeurIPS Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer
2021	J	`jnl`	Grounding Spatio-Temporal Language with Transformers. CoRR Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer
2021	—	`conf`	Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. NeurIPS (Competition and Demos) Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Marc-Alexandre Côté, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim
2021	J	`jnl`	Learning to Win, Lose and Cooperate through Reward Signal Evolution. CoRR Rafal Muszynski, Katja Hofmann, Jun Wang
2021	A*	`conf`	Memory Efficient Meta-Learning with Large Images. NeurIPS John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2021	J	`jnl`	Memory Efficient Meta-Learning with Large Images. CoRR John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
2021	A*	`conf`	Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation. ICML Sam Devlin, Raluca Georgescu, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
2021	J	`jnl`	Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation. CoRR Sam Devlin, Raluca Georgescu, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann
2021	—	`ed.`	NeurIPS 2020 Competition and Demonstration Track, 6-12 December 2020, Virtual Event / Vancouver, BC, Canada NeurIPS (Competition and Demos) Hugo Jair Escalante, Katja Hofmann
2021	J	`jnl`	NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. CoRR Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Michel Galley, Ahmed Hassan Awadallah
2021	A*	`conf`	ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition. ICCV Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
2021	J	`jnl`	ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition. CoRR Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
2021	J	`jnl`	SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. CoRR Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
2021	J	`jnl`	SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. CoRR Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
2021	J	`jnl`	SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching. CoRR Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson
2021	J	`jnl`	SpatialSim: Recognizing Spatial Configurations of Objects With Graph Neural Networks. Frontiers Artif. Intell. Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer
2021	J	`jnl`	Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning. CoRR Robert Tyler Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
2021	A	`conf`	Strategically efficient exploration in competitive multi-agent reinforcement learning. UAI Robert Tyler Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann
2021	A*	`conf`	TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL. ICML Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
2021	J	`jnl`	TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL. CoRR Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
2021	J	`jnl`	VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning. J. Mach. Learn. Res. Luisa M. Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson
2020	—	`conf`	"It's Unwieldy and It Takes a Lot of Time" - Challenges and Opportunities for Creating Agents in Commercial Games. AIIDE Mikhail Jacob, Sam Devlin, Katja Hofmann
2020	J	`jnl`	"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games. CoRR Mikhail Jacob, Sam Devlin, Katja Hofmann
2020	A	`conf`	A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds. AAMAS Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
2020	A*	`conf`	AMRL: Aggregated Memory For Reinforcement Learning. ICLR Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann
2020	J	`jnl`	Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control. CoRR Rika Antonova, Maksim Maydanskiy, Danica Kragic, Sam Devlin, Katja Hofmann
2020	A*	`conf`	Automatic Curriculum Learning For Deep RL: A Short Survey. IJCAI Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
2020	J	`jnl`	Automatic Curriculum Learning For Deep RL: A Short Survey. CoRR Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
2020	A	`conf`	Combining No-regret and Q-learning. AAMAS Ian A. Kash, Michael Sullins, 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`	Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. CoRR Luisa M. Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson
2020	J	`jnl`	Guaranteeing Reproducibility in Deep Learning Competitions. CoRR Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov
2020	J	`jnl`	Meta Automatic Curriculum Learning. CoRR Rémy Portelas, Clément Romac, Katja Hofmann, Pierre-Yves Oudeyer
2020	—	`conf`	NeurIPS 2020 Competition and Demonstration Track: Revised selected papers. NeurIPS (Competition and Demos) Hugo Jair Escalante, Katja Hofmann
2020	J	`jnl`	Recognizing Spatial Configurations of Objects with Graph Neural Networks. CoRR Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer
2020	J	`jnl`	Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning. CoRR Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
2020	A*	`conf`	VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. ICLR Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
2020	A	`conf`	Variational Integrator Networks for Physically Structured Embeddings. AISTATS Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth
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	J	`jnl`	Combining No-regret and Q-learning. CoRR Ian A. Kash, Michael Sullins, Katja Hofmann
2019	A*	`conf`	Fast Context Adaptation via Meta-Learning. ICML Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
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	C	`conf`	MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning. CoG Luke Harries, Sebastian Lee, Jaroslaw Rzepecki, Katja Hofmann, Sam Devlin
2019	Misc	`conf`	Minecraft as AI Playground and Laboratory. CHI PLAY Katja Hofmann
2019	J	`jnl`	Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games. CoRR Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann
2019	A*	`conf`	Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning. NeurIPS David Janz, Jiri Hron, Przemyslaw Mazur, Katja Hofmann, José Miguel Hernández-Lobato, Sebastian Tschiatschek
2019	Misc	`conf`	Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRL Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer
2019	J	`jnl`	Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRR Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer
2019	J	`jnl`	The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR William H. Guss, Cayden R. Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang
2019	J	`jnl`	The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition. CoRR Diego Pérez-Liébana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, André Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita
2019	J	`jnl`	VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. CoRR Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
2019	J	`jnl`	Variational Integrator Networks for Physically Meaningful Embeddings. CoRR Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth
2019	C	`conf`	Win or Learn Fast Proximal Policy Optimisation. CoG Dino Stephen Ratcliffe, Katja Hofmann, Sam Devlin
2018	A*	`conf`	Advancements in Dueling Bandits. IJCAI Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue
2018	J	`jnl`	CAML: Fast Context Adaptation via Meta-Learning. CoRR Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson
2018	J	`jnl`	Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning. CoRR Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft
2018	A*	`conf`	Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. SIGIR Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft
2018	J	`jnl`	Depth and nonlinearity induce implicit exploration for RL. CoRR Justas Dauparas, Ryota Tomioka, Katja Hofmann
2018	J	`jnl`	How Players Speak to an Intelligent Game Character Using Natural Language Messages. Trans. Digit. Games Res. Assoc. Fraser Allison, Ewa Luger, Katja Hofmann
2018	A	`conf`	Meta Reinforcement Learning with Latent Variable Gaussian Processes. UAI Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth
2018	J	`jnl`	Meta Reinforcement Learning with Latent Variable Gaussian Processes. CoRR Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth
2018	J	`jnl`	Successor Uncertainties: exploration and uncertainty in temporal difference learning. CoRR David Janz, Jiri Hron, José Miguel Hernández-Lobato, Katja Hofmann, Sebastian Tschiatschek
2018	J	`jnl`	Variational Inference for Data-Efficient Model Learning in POMDPs. CoRR Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann
2017	J	`jnl`	A New AI Evaluation Cosmos: Ready to Play the Game? AI Mag. José Hernández-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson
2017	A	`conf`	Asynchronous Data Aggregation for Training End to End Visual Control Networks. AAMAS Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann
2017	—	`conf`	Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft. CHI Extended Abstracts Fraser Allison, Ewa Luger, Katja Hofmann
2017	J	`jnl`	The Atari Grand Challenge Dataset. CoRR Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe
2016	J	`jnl`	A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games. CoRR Felix Leibfried, Nate Kushman, Katja Hofmann
2016	A*	`conf`	Collective Noise Contrastive Estimation for Policy Transfer Learning. AAAI Weinan Zhang, Ulrich Paquet, Katja Hofmann
2016	J	`jnl`	Experimental and causal view on information integration in autonomous agents. CoRR Philipp Geiger, Katja Hofmann, Bernhard Schölkopf
2016	J	`jnl`	Memory Lens: How Much Memory Does an Agent Use? CoRR Christoph Dann, Katja Hofmann, Sebastian Nowozin
2016	J	`jnl`	Online Evaluation for Information Retrieval. Found. Trends Inf. Retr. Katja Hofmann, Lihong Li, Filip Radlinski
2016	A*	`conf`	The Malmo Platform for Artificial Intelligence Experimentation. IJCAI Matthew Johnson, Katja Hofmann, Tim Hutton, David Bignell
2016	A*	`conf`	Towards Conversational Recommender Systems. KDD Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann
2015	A*	`conf`	Contextual Dueling Bandits. COLT Miroslav Dudík, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi
2015	J	`jnl`	Contextual Dueling Bandits. CoRR Miroslav Dudík, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi
2015	—	`conf`	Online Learning to Rank: Absolute vs. Relative. WWW (Companion Volume) Yiwei Chen, Katja Hofmann
2015	A*	`conf`	Predicting Search Satisfaction Metrics with Interleaved Comparisons. SIGIR Anne Schuth, Katja Hofmann, Filip Radlinski
2014	J	`jnl`	"Learning to rank for information retrieval from user interactions" by K. Hofmann, S. Whiteson, A. Schuth, and M. de Rijke with Martin Vesely as coordinator. SIGWEB Newsl. Katja Hofmann, Shimon Whiteson, Anne Schuth, Maarten de Rijke
2014	A	`ed.`	Advances in Information Retrieval - 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings ECIR Maarten de Rijke, Tom Kenter, Arjen P. de Vries, ChengXiang Zhai, Franciska de Jong, Kira Radinsky, Katja Hofmann
2014	A	`conf`	An Eye-tracking Study of User Interactions with Query Auto Completion. CIKM Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi
2014	A	`conf`	Effects of Position Bias on Click-Based Recommender Evaluation. ECIR Katja Hofmann, Anne Schuth, Alejandro Bellogín, Maarten de Rijke
2014	A*	`conf`	On user interactions with query auto-completion. SIGIR Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann
2014	—	`conf`	Online Experimentation for Information Retrieval. RuSSIR Katja Hofmann
2013	J	`jnl`	Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval. Inf. Retr. Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2013	—	`ch.`	Cornetto: A Combinatorial Lexical Semantic Database for Dutch. Essential Speech and Language Technology for Dutch Piek Vossen, Isa Maks, Roxane Segers, Hennie van der Vliet, Marie-Francine Moens, Katja Hofmann, Erik Tjong Kim Sang, Maarten de Rijke
2013	A	`conf`	Evaluating aggregated search using interleaving. CIKM Aleksandr Chuklin, Anne Schuth, Katja Hofmann, Pavel Serdyukov, Maarten de Rijke
2013	J	`jnl`	Fast and reliable online learning to rank for information retrieval. SIGIR Forum Katja Hofmann
2013	J	`jnl`	Fidelity, Soundness, and Efficiency of Interleaved Comparison Methods. ACM Trans. Inf. Syst. Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2013	—	`conf`	Lerot: an online learning to rank framework. LivingLab@CIKM Anne Schuth, Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2013	A	`conf`	Practical Online Retrieval Evaluation. ECIR Filip Radlinski, Katja Hofmann
2013	—	`conf`	Reusing Historical Interaction Data for Faster Online Learning to Rank for IR. DIR Katja Hofmann, Anne Schuth, Shimon Whiteson, Maarten de Rijke
2013	A	`conf`	Reusing historical interaction data for faster online learning to rank for IR. WSDM Katja Hofmann, Anne Schuth, Shimon Whiteson, Maarten de Rijke
2012	A	`conf`	Estimating interleaved comparison outcomes from historical click data. CIKM Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2012	A	`conf`	Learning to Rank from Relevance Feedback for e-Discovery. ECIR Peter Lubell-Doughtie, Katja Hofmann
2012	A	`conf`	On caption bias in interleaving experiments. CIKM Katja Hofmann, Fritz Behr, Filip Radlinski
2011	A	`conf`	A probabilistic method for inferring preferences from clicks. CIKM Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2011	—	`conf`	Adapting Rankers Online. IRFC Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2011	A	`conf`	Balancing Exploration and Exploitation in Learning to Rank Online. ECIR Katja Hofmann, Shimon Whiteson, Maarten de Rijke
2011	J	`jnl`	DIR 2011: the eleventh Dutch-Belgian information retrieval workshop. SIGIR Forum Corrado Boscarino, Katja Hofmann, Valentin Jijkoun, Edgar Meij, Maarten de Rijke, Wouter Weerkamp
2011	—	`ch.`	Extraction of Hypernymy Information from Text Interactive Multi-modal Question-Answering Erik Tjong Kim Sang, Katja Hofmann, Maarten de Rijke
2011	A*	`conf`	Search engines that learn online. SIGIR Katja Hofmann
2011	—	`conf`	The University of Amsterdam at the TREC 2011 Session Track. TREC Bouke Huurnink, Richard Berendsen, Katja Hofmann, Edgar Meij, Maarten de Rijke
2010	A*	`conf`	Comparing click-through data to purchase decisions for retrieval evaluation. SIGIR Katja Hofmann, Bouke Huurnink, Marc Bron, Maarten de Rijke
2010	J	`jnl`	Contextual factors for finding similar experts. J. Assoc. Inf. Sci. Technol. Katja Hofmann, Krisztian Balog, Toine Bogers, Maarten de Rijke
2010	J	`jnl`	Podcast search: user goals and retrieval technologies. Online Inf. Rev. Jana Besser, Martha A. Larson, Katja Hofmann
2010	—	`conf`	The University of Amsterdam at TREC 2010: Session, Entity and Relevance Feedback. TREC Marc Bron, Jiyin He, Katja Hofmann, Edgar Meij, Maarten de Rijke, Manos Tsagkias, Wouter Weerkamp
2010	—	`conf`	Validating Query Simulators: An Experiment Using Commercial Searches and Purchases. CLEF Bouke Huurnink, Katja Hofmann, Maarten de Rijke, Marc Bron
2009	—	`conf`	A Semantic Perspective on Query Log Analysis. CLEF (Working Notes) Katja Hofmann, Maarten de Rijke, Bouke Huurnink, Edgar Meij
2009	A	`conf`	Generating a Non-English Subjectivity Lexicon: Relations That Matter. EACL Valentin Jijkoun, Katja Hofmann
2009	—	`conf`	Heuristic Ranking and Diversification of Web Documents. TREC Jiyin He, Krisztian Balog, Katja Hofmann, Edgar Meij, Maarten de Rijke, Manos Tsagkias, Wouter Weerkamp
2009	B	`conf`	Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction? CoNLL Erik F. Tjong Kim Sang, Katja Hofmann
2009	A	`conf`	The impact of document structure on keyphrase extraction. CIKM Katja Hofmann, Manos Tsagkias, Edgar Meij, Maarten de Rijke
2008	—	`conf`	An Exploratory Study of User Goals and Strategies in Podcast Search. LWA Jana Besser, Katja Hofmann, Martha A. Larson
2008	—	`conf`	Assessing concept selection for video retrieval. Multimedia Information Retrieval Bouke Huurnink, Katja Hofmann, Maarten de Rijke
2008	—	`ch.`	Unobtrusive User Modeling For Adaptive Hypermedia. Personalization Techniques and Recommender Systems Hilary J. Holz, Katja Hofmann, Catherine Reed
2007	A*	`conf`	Automatic extension of non-english wordnets. SIGIR Katja Hofmann, Erik F. Tjong Kim Sang
2007	A	`conf`	Modeling Engagement in Educational Adaptive Hypermedia. AIED Jabari O. Pulliam, Robert Sajan, Katja Hofmann
2007	—	`conf`	Query and Document Models for Enterprise Search. TREC Krisztian Balog, Katja Hofmann, Wouter Weerkamp, Maarten de Rijke
2007	—	`conf`	The University of Amsterdam at CLEF@QA 2007. CLEF (Working Notes) Valentin Jijkoun, Katja Hofmann, David Ahn, Mahboob Alam Khalid, Joris van Rantwijk, Maarten de Rijke, Erik F. Tjong Kim Sang
2007	—	`conf`	The University of Amsterdam at the TREC 2007 QA Track. TREC Katja Hofmann, Valentin Jijkoun, Mahboob Alam Khalid, Joris van Rantwijk, Erik F. Tjong Kim Sang
2007	—	`conf`	The University of Amsterdam's Question Answering System at QA@CLEF 2007. CLEF Valentin Jijkoun, Katja Hofmann, David Ahn, Mahboob Alam Khalid, Joris van Rantwijk, Maarten de Rijke, Erik F. Tjong Kim Sang
2007	J	`jnl`	Unobtrusive User Modeling for Adaptive Hypermedia. Int. J. Pattern Recognit. Artif. Intell. Hilary J. Holz, Katja Hofmann, Catherine Reed
2005	A	`conf`	Subsymbolic User Modeling in Adaptive Hypermedia. AIED Katja Hofmann