Katja Hofmann

According to our database, Katja Hofmann authored at least 128 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Toward Human-AI Alignment in Large-Scale Multi-Player Games.

Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad

CoRR, 2024

Transformer Neural Autoregressive Flows.

Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E. Turner

CoRR, 2024

2023

Learning Safety Constraints from Demonstrations with Unknown Rewards.

David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause

CoRR, 2023

Trust-Region-Free Policy Optimization for Stochastic Policies.

Mingfei Sun, Benjamin Ellis, Anuj Mahajan, Sam Devlin, Katja Hofmann, Shimon Whiteson

CoRR, 2023

Imitating Human Behaviour with Diffusion Models.

Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation.

Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner

Proceedings of the Conference on Lifelong Learning Agents, 2023

Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games.

Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Trust Region Bounds for Decentralized PPO Under Non-stationarity.

Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

UniMASK: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

CoRR, 2022

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers.

Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

CoRR, 2022

Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO.

Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson

CoRR, 2022

You May Not Need Ratio Clipping in PPO.

Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson

CoRR, 2022

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification.

Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Uni[MASK]: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Interactively Learning Preference Constraints in Linear Bandits.

David Lindner, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause

Proceedings of the International Conference on Machine Learning, 2022

How Humans Perceive Human-like Behavior in Video Game Navigation.

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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency.

Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning.

Luisa M. Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson

J. Mach. Learn. Res., 2021

SpatialSim: Recognizing Spatial Configurations of Objects With Graph Neural Networks.

Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer

Frontiers Artif. Intell., 2021

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment.

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

CoRR, 2021

SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents.

Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

CoRR, 2021

SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching.

Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson

CoRR, 2021

Learning to Win, Lose and Cooperate through Reward Signal Evolution.

Rafal Muszynski, Katja Hofmann, Jun Wang

CoRR, 2021

SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents.

Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

CoRR, 2021

Strategically efficient exploration in competitive multi-agent reinforcement learning.

Robert Tyler Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Grounding Spatio-Temporal Language with Transformers.

Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Memory Efficient Meta-Learning with Large Images.

John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.

Luisa M. Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson

Proceedings of the 38th International Conference on Machine Learning, 2021

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL.

Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

Proceedings of the 38th International Conference on Machine Learning, 2021

Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation.

Sam Devlin, Raluca Georgescu, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann

Proceedings of the 38th International Conference on Machine Learning, 2021

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition.

Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Interactive Bayesian Reinforcement Learning via Meta-Learning.

Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Evaluating the Robustness of Collaborative Agents.

Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors.

Lida Theodorou, Daniela Massiceti, Luisa M. Zintgraf, Simone Stumpf, Cecily Morrison, Edward Cutrell, Matthew Tobias Harris, Katja Hofmann

Proceedings of the ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 2021

2020

Meta Automatic Curriculum Learning.

Rémy Portelas, Clément Romac, Katja Hofmann, Pierre-Yves Oudeyer

CoRR, 2020

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning.

Luisa M. Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson

CoRR, 2020

Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control.

Rika Antonova, Maksim Maydanskiy, Danica Kragic, Sam Devlin, Katja Hofmann

CoRR, 2020

Guaranteeing Reproducibility in Deep Learning Competitions.

Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov

CoRR, 2020

Recognizing Spatial Configurations of Objects with Graph Neural Networks.

Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer

CoRR, 2020

Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning.

Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

CoRR, 2020

NeurIPS 2020 Competition and Demonstration Track: Revised selected papers.

Hugo Jair Escalante, Katja Hofmann

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Automatic Curriculum Learning For Deep RL: A Short Survey.

Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning.

Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson

Proceedings of the 8th International Conference on Learning Representations, 2020

Conservative Uncertainty Estimation By Fitting Prior Networks.

Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard E. Turner

Proceedings of the 8th International Conference on Learning Representations, 2020

AMRL: Aggregated Memory For Reinforcement Learning.

Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann

Proceedings of the 8th International Conference on Learning Representations, 2020

A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds.

Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Combining No-regret and Q-learning.

Ian A. Kash, Michael Sullins, Katja Hofmann

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Variational Integrator Networks for Physically Structured Embeddings.

Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

"It's Unwieldy and It Takes a Lot of Time" - Challenges and Opportunities for Creating Agents in Commercial Games.

Mikhail Jacob, Sam Devlin, Katja Hofmann

Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

2019

Variational Integrator Networks for Physically Meaningful Embeddings.

Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth

CoRR, 2019

Near-Optimal Online Egalitarian learning in General Sum Repeated Matrix Games.

Aristide C. Y. Tossou, Christos Dimitrakakis, Jaroslaw Rzepecki, Katja Hofmann

CoRR, 2019

The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors.

William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang

CoRR, 2019

The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition.

Diego Pérez-Liébana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, André Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita

CoRR, 2019

Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning.

David Janz, Jiri Hron, Przemyslaw Mazur, Katja Hofmann, José Miguel Hernández-Lobato, Sebastian Tschiatschek

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck.

Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Better Exploration with Optimistic Actor Critic.

Kamil Ciosek, Quan Vuong, Robert Tyler Loftin, Katja Hofmann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast Context Adaptation via Meta-Learning.

Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson

Proceedings of the 36th International Conference on Machine Learning, 2019

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments.

Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Win or Learn Fast Proximal Policy Optimisation.

Dino Stephen Ratcliffe, Katja Hofmann, Sam Devlin

Proceedings of the IEEE Conference on Games, 2019

MazeExplorer: A Customisable 3D Benchmark for Assessing Generalisation in Reinforcement Learning.

Luke Harries, Sebastian Lee, Jaroslaw Rzepecki, Katja Hofmann, Sam Devlin

Proceedings of the IEEE Conference on Games, 2019

Minecraft as AI Playground and Laboratory.

Katja Hofmann

Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2019

2018

How Players Speak to an Intelligent Game Character Using Natural Language Messages.

Fraser Allison, Ewa Luger, Katja Hofmann

Trans. Digit. Games Res. Assoc., 2018

Successor Uncertainties: exploration and uncertainty in temporal difference learning.

David Janz, Jiri Hron, José Miguel Hernández-Lobato, Katja Hofmann, Sebastian Tschiatschek

CoRR, 2018

CAML: Fast Context Adaptation via Meta-Learning.

Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson

CoRR, 2018

Depth and nonlinearity induce implicit exploration for RL.

Justas Dauparas, Ryota Tomioka, Katja Hofmann

CoRR, 2018

Variational Inference for Data-Efficient Model Learning in POMDPs.

Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann

CoRR, 2018

Meta Reinforcement Learning with Latent Variable Gaussian Processes.

Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Cross Domain Regularization for Neural Ranking Models using Adversarial Learning.

Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Advancements in Dueling Bandits.

Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

The Atari Grand Challenge Dataset.

Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe

CoRR, 2017

A New AI Evaluation Cosmos: Ready to Play the Game?

José Hernández-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson

AI Mag., 2017

Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft.

Fraser Allison, Ewa Luger, Katja Hofmann

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Asynchronous Data Aggregation for Training End to End Visual Control Networks.

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

Online Evaluation for Information Retrieval.

Katja Hofmann, Lihong Li, Filip Radlinski

Found. Trends Inf. Retr., 2016

A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games.

Felix Leibfried, Nate Kushman, Katja Hofmann

CoRR, 2016

Experimental and causal view on information integration in autonomous agents.

Philipp Geiger, Katja Hofmann, Bernhard Schölkopf

CoRR, 2016

Memory Lens: How Much Memory Does an Agent Use?

Christoph Dann, Katja Hofmann, Sebastian Nowozin

CoRR, 2016

Towards Conversational Recommender Systems.

Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

The Malmo Platform for Artificial Intelligence Experimentation.

Matthew Johnson, Katja Hofmann, Tim Hutton, David Bignell

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Collective Noise Contrastive Estimation for Policy Transfer Learning.

Weinan Zhang, Ulrich Paquet, Katja Hofmann

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Online Learning to Rank: Absolute vs. Relative.

Yiwei Chen, Katja Hofmann

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Predicting Search Satisfaction Metrics with Interleaved Comparisons.

Anne Schuth, Katja Hofmann, Filip Radlinski

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Contextual Dueling Bandits.

Miroslav Dudík, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi

Proceedings of The 28th Conference on Learning Theory, 2015

2014

"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.

Katja Hofmann, Shimon Whiteson, Anne Schuth, Maarten de Rijke

SIGWEB Newsl., 2014

On user interactions with query auto-completion.

Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Online Experimentation for Information Retrieval.

Katja Hofmann

Proceedings of the Information Retrieval, 2014

Effects of Position Bias on Click-Based Recommender Evaluation.

Katja Hofmann, Anne Schuth, Alejandro Bellogín, Maarten de Rijke

Proceedings of the Advances in Information Retrieval, 2014

An Eye-tracking Study of User Interactions with Query Auto Completion.

Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Cornetto: A Combinatorial Lexical Semantic Database for Dutch.

Piek Vossen, Isa Maks, Roxane Segers, Hennie van der Vliet, Marie-Francine Moens, Katja Hofmann, Erik Tjong Kim Sang, Maarten de Rijke

Proceedings of the Essential Speech and Language Technology for Dutch, 2013

Fidelity, Soundness, and Efficiency of Interleaved Comparison Methods.

Katja Hofmann, Shimon Whiteson, Maarten de Rijke

ACM Trans. Inf. Syst., 2013

Fast and reliable online learning to rank for information retrieval.

Katja Hofmann

SIGIR Forum, 2013

Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval.

Katja Hofmann, Shimon Whiteson, Maarten de Rijke

Inf. Retr., 2013

Practical Online Retrieval Evaluation.

Filip Radlinski, Katja Hofmann

Proceedings of the Advances in Information Retrieval, 2013

Reusing Historical Interaction Data for Faster Online Learning to Rank for IR.

Katja Hofmann, Anne Schuth, Shimon Whiteson, Maarten de Rijke

Proceedings of the 13th Dutch-Belgian Workshop on Information Retrieval, 2013

Lerot: an online learning to rank framework.

Anne Schuth, Katja Hofmann, Shimon Whiteson, Maarten de Rijke

Proceedings of the 2013 workshop on Living labs for information retrieval evaluation, 2013

Evaluating aggregated search using interleaving.

Aleksandr Chuklin, Anne Schuth, Katja Hofmann, Pavel Serdyukov, Maarten de Rijke

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Learning to Rank from Relevance Feedback for e-Discovery.

Peter Lubell-Doughtie, Katja Hofmann

Proceedings of the Advances in Information Retrieval, 2012

Estimating interleaved comparison outcomes from historical click data.

Katja Hofmann, Shimon Whiteson, Maarten de Rijke

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

On caption bias in interleaving experiments.

Katja Hofmann, Fritz Behr, Filip Radlinski

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Extraction of Hypernymy Information from Text^∗.

Erik Tjong Kim Sang, Katja Hofmann, Maarten de Rijke

Proceedings of the Interactive Multi-modal Question-Answering, 2011

DIR 2011: the eleventh Dutch-Belgian information retrieval workshop.

Corrado Boscarino, Katja Hofmann, Valentin Jijkoun, Edgar Meij, Maarten de Rijke, Wouter Weerkamp

SIGIR Forum, 2011

The University of Amsterdam at the TREC 2011 Session Track.

Bouke Huurnink, Richard Berendsen, Katja Hofmann, Edgar Meij, Maarten de Rijke

Proceedings of The Twentieth Text REtrieval Conference, 2011

Search engines that learn online.

Katja Hofmann

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Adapting Rankers Online.

Katja Hofmann, Shimon Whiteson, Maarten de Rijke

Proceedings of the Multidisciplinary Information Retrieval, 2011

Balancing Exploration and Exploitation in Learning to Rank Online.

Katja Hofmann, Shimon Whiteson, Maarten de Rijke

Proceedings of the Advances in Information Retrieval, 2011

A probabilistic method for inferring preferences from clicks.

Katja Hofmann, Shimon Whiteson, Maarten de Rijke

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Podcast search: user goals and retrieval technologies.

Jana Besser, Martha A. Larson, Katja Hofmann

Online Inf. Rev., 2010

Contextual factors for finding similar experts.

Katja Hofmann, Krisztian Balog, Toine Bogers, Maarten de Rijke

J. Assoc. Inf. Sci. Technol., 2010

The University of Amsterdam at TREC 2010: Session, Entity and Relevance Feedback.

Marc Bron, Jiyin He, Katja Hofmann, Edgar Meij, Maarten de Rijke, Manos Tsagkias, Wouter Weerkamp

Proceedings of The Nineteenth Text REtrieval Conference, 2010

Comparing click-through data to purchase decisions for retrieval evaluation.

Katja Hofmann, Bouke Huurnink, Marc Bron, Maarten de Rijke

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Validating Query Simulators: An Experiment Using Commercial Searches and Purchases.

Bouke Huurnink, Katja Hofmann, Maarten de Rijke, Marc Bron

Proceedings of the Multilingual and Multimodal Information Access Evaluation, 2010

2009

Heuristic Ranking and Diversification of Web Documents.

Jiyin He, Krisztian Balog, Katja Hofmann, Edgar Meij, Maarten de Rijke, Manos Tsagkias, Wouter Weerkamp

Proceedings of The Eighteenth Text REtrieval Conference, 2009

Generating a Non-English Subjectivity Lexicon: Relations That Matter.

Valentin Jijkoun, Katja Hofmann

Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction?

Erik F. Tjong Kim Sang, Katja Hofmann

Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

A Semantic Perspective on Query Log Analysis.

Katja Hofmann, Maarten de Rijke, Bouke Huurnink, Edgar Meij

Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

The impact of document structure on keyphrase extraction.

Katja Hofmann, Manos Tsagkias, Edgar Meij, Maarten de Rijke

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Unobtrusive User Modeling For Adaptive Hypermedia.

Hilary J. Holz, Katja Hofmann, Catherine Reed

Proceedings of the Personalization Techniques and Recommender Systems, 2008

Assessing concept selection for video retrieval.

Bouke Huurnink, Katja Hofmann, Maarten de Rijke

Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

An Exploratory Study of User Goals and Strategies in Podcast Search.

Jana Besser, Katja Hofmann, Martha A. Larson

Proceedings of the LWA 2008, 2008

2007

Unobtrusive User Modeling for Adaptive Hypermedia.

Hilary J. Holz, Katja Hofmann, Catherine Reed

Int. J. Pattern Recognit. Artif. Intell., 2007

The University of Amsterdam at the TREC 2007 QA Track.

Katja Hofmann, Valentin Jijkoun, Mahboob Alam Khalid, Joris van Rantwijk, Erik F. Tjong Kim Sang

Proceedings of The Sixteenth Text REtrieval Conference, 2007

Query and Document Models for Enterprise Search.

Krisztian Balog, Katja Hofmann, Wouter Weerkamp, Maarten de Rijke

Proceedings of The Sixteenth Text REtrieval Conference, 2007

Automatic extension of non-english wordnets.

Katja Hofmann, Erik F. Tjong Kim Sang

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

The University of Amsterdam at CLEF@QA 2007.

Valentin Jijkoun, Katja Hofmann, David Ahn, Mahboob Alam Khalid, Joris van Rantwijk, Maarten de Rijke, Erik F. Tjong Kim Sang

Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

The University of Amsterdam's Question Answering System at QA@CLEF 2007.

Valentin Jijkoun, Katja Hofmann, David Ahn, Mahboob Alam Khalid, Joris van Rantwijk, Maarten de Rijke, Erik F. Tjong Kim Sang

Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

Modeling Engagement in Educational Adaptive Hypermedia.

Jabari O. Pulliam, Robert Sajan, Katja Hofmann

Proceedings of the Artificial Intelligence in Education, 2007

2005

Subsymbolic User Modeling in Adaptive Hypermedia.

Katja Hofmann

Proceedings of the Artificial Intelligence in Education, 2005