Katja Hofmann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
20
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Scaling Laws for Pre-training Agents and World Models. | Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann |
| 2024 | AISTATS | Learning Safety Constraints from Demonstrations with Unknown Rewards. | David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause |
| 2023 | CHI | 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 |
| 2023 | ICLR | 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 |
| 2022 | AAAI | Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. | Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson |
| 2022 | CHI | 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 |
| 2022 | ICML | Interactively Learning Preference Constraints in Linear Bandits. | David Lindner, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause |
| 2021 | ASSETS | 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 |
| 2021 | ICCV | 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 |
| 2021 | ICML | 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 |
| 2021 | ICML | TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL. | Clment Romac, Rmy Portelas, Katja Hofmann, Pierre-Yves Oudeyer |
| 2021 | ICML | 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 |
| 2021 | UAI | Strategically efficient exploration in competitive multi-agent reinforcement learning. | Robert Tyler Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann |
| 2020 | AISTATS | Variational Integrator Networks for Physically Structured Embeddings. | Steindr Smundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth |
| 2020 | ICLR | AMRL: Aggregated Memory For Reinforcement Learning. | Jacob Beck, Kamil Ciosek, Sam Devlin, Sebastian Tschiatschek, Cheng Zhang, Katja Hofmann |
| 2020 | ICLR | Conservative Uncertainty Estimation By Fitting Prior Networks. | Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard E. Turner |
| 2020 | ICLR | 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 |
| 2020 | IJCAI | Automatic Curriculum Learning For Deep RL: A Short Survey. | Rmy Portelas, Cdric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer |
| 2019 | CoRL | Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. | Rmy Portelas, Cdric Colas, Katja Hofmann, Pierre-Yves Oudeyer |
| 2019 | ICML | Fast Context Adaptation via Meta-Learning. | Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson |
| 2018 | IJCAI | Advancements in Dueling Bandits. | Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue |
| 2018 | SIGIR | Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. | Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft |
| 2018 | UAI | Meta Reinforcement Learning with Latent Variable Gaussian Processes. | Steindr Smundsson, Katja Hofmann, Marc Peter Deisenroth |
| 2017 | CHI | Spontaneous Interactions with a Virtually Embodied Intelligent Assistant in Minecraft. | Fraser Allison, Ewa Luger, Katja Hofmann |
| 2016 | AAAI | Collective Noise Contrastive Estimation for Policy Transfer Learning. | Weinan Zhang, Ulrich Paquet, Katja Hofmann |
| 2016 | IJCAI | The Malmo Platform for Artificial Intelligence Experimentation. | Matthew Johnson, Katja Hofmann, Tim Hutton, David Bignell |
| 2016 | KDD | Towards Conversational Recommender Systems. | Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann |
| 2015 | COLT | Contextual Dueling Bandits. | Miroslav Dudk, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi |
| 2015 | WWW | Online Learning to Rank: Absolute vs. Relative. | Yiwei Chen, Katja Hofmann |
| 2015 | SIGIR | Predicting Search Satisfaction Metrics with Interleaved Comparisons. | Anne Schuth, Katja Hofmann, Filip Radlinski |
| 2014 | CIKM | An Eye-tracking Study of User Interactions with Query Auto Completion. | Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi |
| 2014 | ECIR | Effects of Position Bias on Click-Based Recommender Evaluation. | Katja Hofmann, Anne Schuth, Alejandro Bellogn, Maarten de Rijke |
| 2014 | SIGIR | On user interactions with query auto-completion. | Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann |
| 2013 | CIKM | Evaluating aggregated search using interleaving. | Aleksandr Chuklin, Anne Schuth, Katja Hofmann, Pavel Serdyukov, Maarten de Rijke |
| 2013 | CIKM | Lerot: an online learning to rank framework. | Anne Schuth, Katja Hofmann, Shimon Whiteson, Maarten de Rijke |
| 2013 | ECIR | Practical Online Retrieval Evaluation. | Filip Radlinski, Katja Hofmann |
| 2013 | WSDM | Reusing historical interaction data for faster online learning to rank for IR. | Katja Hofmann, Anne Schuth, Shimon Whiteson, Maarten de Rijke |
| 2012 | CIKM | On caption bias in interleaving experiments. | Katja Hofmann, Fritz Behr, Filip Radlinski |
| 2012 | CIKM | Estimating interleaved comparison outcomes from historical click data. | Katja Hofmann, Shimon Whiteson, Maarten de Rijke |
| 2012 | ECIR | Learning to Rank from Relevance Feedback for e-Discovery. | Peter Lubell-Doughtie, Katja Hofmann |
| 2011 | CIKM | A probabilistic method for inferring preferences from clicks. | Katja Hofmann, Shimon Whiteson, Maarten de Rijke |
| 2011 | ECIR | Balancing Exploration and Exploitation in Learning to Rank Online. | Katja Hofmann, Shimon Whiteson, Maarten de Rijke |
| 2011 | SIGIR | Search engines that learn online. | Katja Hofmann |
| 2010 | SIGIR | Comparing click-through data to purchase decisions for retrieval evaluation. | Katja Hofmann, Bouke Huurnink, Marc Bron, Maarten de Rijke |
| 2009 | CIKM | The impact of document structure on keyphrase extraction. | Katja Hofmann, Manos Tsagkias, Edgar Meij, Maarten de Rijke |
| 2009 | CoNLL | Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction? | Erik F. Tjong Kim Sang, Katja Hofmann |
| 2009 | EACL | Generating a Non-English Subjectivity Lexicon: Relations That Matter. | Valentin Jijkoun, Katja Hofmann |
| 2007 | AIED | Modeling Engagement in Educational Adaptive Hypermedia. | Jabari O. Pulliam, Robert Sajan, Katja Hofmann |
| 2007 | SIGIR | Automatic extension of non-english wordnets. | Katja Hofmann, Erik F. Tjong Kim Sang |
| 2005 | AIED | Subsymbolic User Modeling in Adaptive Hypermedia. | Katja Hofmann |