Katja Hofmann

Researcher at Microsoft Research Cambridge, UK

About

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

Recent Tweets

RT @MSFTResearch: Full-time faculty in the US can receive $100K awarded annually for two years from the new Microsoft Investigator Fellowsh… 3 hours ago
RT @PreferredNet: Preferred Networks is proudly serving as a co-organizer of Minecraft-based MineRL competition at NeurIPS 2019 w/ @wgussml… 3 hours ago
RT @mpd37: We are very excited to have such an amazing line-up of teachers at #MLSS2019: @shakir_za John Duchi @Moustapha_6C @katjahofmann… 1 day ago

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Microsoft Research News

Leveraging blockchain to make machine learning models more accessible
Significant advances are being made in artificial intelligence, but accessing and taking advantage of the machine learning systems making these developments possible can be challenging, especially for those with limited resources. These systems tend to be highly centralized, their predictions are often sold on a per-query basis, and the datasets required to […]
The brave new world of cloud-scale systems and networking with Dr. Lidong Zhou
Episode 82, June 26, 2019- If you’re like me, you’re no longer amazed by how all your technologies can work for you. Rather, you’ve begun to take for granted that they simply should work for you. Instantly. All together. All the time. The fact that you’re not amazed is a testimony to the work that people like Dr. Lidong Zhou, Assistant Managing Director of M […]
Microsoft makes AI debugging and visualization tool TensorWatch open source
The rise of deep learning is accompanied by ever-increasing model complexity, larger datasets, and longer training times for models. When working on novel concepts, researchers often need to understand why training metrics are trending the way they are. So far, the available tools for machine learning training have focused on a “what you see is […] The post […]

Recent MSR Publications

Leveraging blockchain to make machine learning models more accessible
Significant advances are being made in artificial intelligence, but accessing and taking advantage of the machine learning systems making these developments possible can be challenging, especially for those with limited resources. These systems tend to be highly centralized, their predictions are often sold on a per-query basis, and the datasets required to […]
The brave new world of cloud-scale systems and networking with Dr. Lidong Zhou
Episode 82, June 26, 2019- If you’re like me, you’re no longer amazed by how all your technologies can work for you. Rather, you’ve begun to take for granted that they simply should work for you. Instantly. All together. All the time. The fact that you’re not amazed is a testimony to the work that people like Dr. Lidong Zhou, Assistant Managing Director of M […]
Microsoft makes AI debugging and visualization tool TensorWatch open source
The rise of deep learning is accompanied by ever-increasing model complexity, larger datasets, and longer training times for models. When working on novel concepts, researchers often need to understand why training metrics are trending the way they are. So far, the available tools for machine learning training have focused on a “what you see is […] The post […]

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