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

LinkedIn
Twitter

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 @smdvln: At #UAI2021 poster now to discuss strategically efficient exploration in competitive multi-agent reinforcement learning led by… 3 days ago
  • RT @DrSimoneStumpf: Happy to share ORBIT: A real-world few-shot dataset for teachable object recognition collected from people who are blin… 6 days ago
  • And the @IgluContest IGLU competition connects reinforcement learning of complex tasks to grounded dialog in an int… twitter.com/i/web/status/1… 1 week ago
Follow @katjahofmann

RSS Microsoft Research News

  • New Future of Work: Managing IT and security in remote scenarios with Jaime Teevan and Matt Brodsky
    In this episode of the podcast, Chief Scientist Jaime Teevan and Senior User Research Manager Matt Brodsky examine how the level of IT support available during the shift, including the ability to provide hardware and software, made the difference between laying off staff and weathering the challenges brought on by the pandemic. They also explore why remote w […]
  • On infinitely wide neural networks that exhibit feature learning
    In the pursuit of learning about fundamentals of the natural world, scientists have had success with coming at discoveries from both a bottom-up and top-down approach. Neuroscience is a great example of the former. Spanish anatomist Santiago Ramón y Cajal discovered the neuron in the late 19th century. While scientists’ understanding of these building blocks […]
  • Lecture series aims to help spur dialogue around race and technology
    In November, NYU media professor Charlton McIlwain joined fellow scholars Safiya Noble, Ruha Benjamin, and André Brock for a virtual discussion on anti-Blackness and technology hosted by the University of California Santa Barbara. The conversation was an engaging one, and McIlwain distinctly recalls the last question of the event: what is your vision for the […]

RSS Recent MSR Publications

  • New Future of Work: Managing IT and security in remote scenarios with Jaime Teevan and Matt Brodsky
    In this episode of the podcast, Chief Scientist Jaime Teevan and Senior User Research Manager Matt Brodsky examine how the level of IT support available during the shift, including the ability to provide hardware and software, made the difference between laying off staff and weathering the challenges brought on by the pandemic. They also explore why remote w […]
  • On infinitely wide neural networks that exhibit feature learning
    In the pursuit of learning about fundamentals of the natural world, scientists have had success with coming at discoveries from both a bottom-up and top-down approach. Neuroscience is a great example of the former. Spanish anatomist Santiago Ramón y Cajal discovered the neuron in the late 19th century. While scientists’ understanding of these building blocks […]
  • Lecture series aims to help spur dialogue around race and technology
    In November, NYU media professor Charlton McIlwain joined fellow scholars Safiya Noble, Ruha Benjamin, and André Brock for a virtual discussion on anti-Blackness and technology hosted by the University of California Santa Barbara. The conversation was an engaging one, and McIlwain distinctly recalls the last question of the event: what is your vision for the […]

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