Katja Hofmann

Researcher at Microsoft Research Cambridge, UK

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Future interactive systems will learn directly from their users, and continuously adapt to their preferences. My research goal is to develop exploration, reward, and learning approaches that will make this possible. [...]

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Katja Hofmann

Intelligent Systems Lab Amsterdam
Informatics Institute
University of Amsterdam

Room C3.258
Science Park 904
1098 XH Amsterdam

+31 (20) 525 6767

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Recent Posts

Query Formulation with Query Auto-Completion
RUSSIR 2014: Lectures on Online Experimentation for Information Retrieval
Fast and Reliably Online Learning to Rank for Information Retrieval
Practical Online Retrieval Evaluation
Balancing Exploration and Exploitation in Online Learning to Rank for IR

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Microsoft Research News

The productive software engineer with Dr. Tom Zimmermann
Episode 77, May 22, 2019- If you’re in software development, Dr. Tom Zimmermann, a senior researcher at Microsoft Research in Redmond, wants you to be more productive, and he’s here to help. How, you might ask? Well, while productivity can be hard to measure, his research in the Empirical Software Engineering group is attempting to do just that by using insi […]
Robust Language Representation Learning via Multi-task Knowledge Distillation
Language Representation Learning maps symbolic natural language texts (for example, words, phrases and sentences) to semantic vectors. Robust and universal language representations are crucial to achieving state-of-the-art results on many Natural Language Processing (NLP) tasks. Ensemble learning is one of the most effective approaches for improving model ge […]
Believe your ears – Hitting all the right notes in spatial sound rendering at ICASSP 2019
Mixed reality (MR) applications and devices are seeing increased adoption, integrating computation into the fabric of our daily lives. This requires realistic rendering of virtual audio-visual content to deliver sensory immersion to MR users. Producing renderings indistinguishable from reality within tight computational budgets is both a tantalizing and chal […]

Recent MSR Publications

The productive software engineer with Dr. Tom Zimmermann
Episode 77, May 22, 2019- If you’re in software development, Dr. Tom Zimmermann, a senior researcher at Microsoft Research in Redmond, wants you to be more productive, and he’s here to help. How, you might ask? Well, while productivity can be hard to measure, his research in the Empirical Software Engineering group is attempting to do just that by using insi […]
Robust Language Representation Learning via Multi-task Knowledge Distillation
Language Representation Learning maps symbolic natural language texts (for example, words, phrases and sentences) to semantic vectors. Robust and universal language representations are crucial to achieving state-of-the-art results on many Natural Language Processing (NLP) tasks. Ensemble learning is one of the most effective approaches for improving model ge […]
Believe your ears – Hitting all the right notes in spatial sound rendering at ICASSP 2019
Mixed reality (MR) applications and devices are seeing increased adoption, integrating computation into the fabric of our daily lives. This requires realistic rendering of virtual audio-visual content to deliver sensory immersion to MR users. Producing renderings indistinguishable from reality within tight computational budgets is both a tantalizing and chal […]

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