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. [...]

Pages

About
Contact
Publications

Search

Search for:

Contact

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

Advertisements

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

I didn’t know much about Emmy Noether. Loved this podcast and learning more about her work and influence on modern… twitter.com/i/web/status/1… 2 days ago
I’m so looking forward to this! Great opportunity for catching up on exciting research and awesome people in the NY… twitter.com/i/web/status/1… 5 days ago
RT @haldaume3: In NYC area and interested in reinforcement learning? Come to RL Day at @MSFTResearch on Oct 3! Free to register! Awesome… 5 days ago

Follow @katjahofmann

Microsoft Research News

Helping first responders achieve more with autonomous systems and AirSim
With inputs from: Elizabeth Bondi (Harvard University), Bob DeBortoli (Oregon State University), Balinder Malhi (Microsoft) and Jim Piavis (Microsoft) Autonomous systems have the potential to improve safety for people in dangerous jobs, particularly first responders. However, deploying these systems is a difficult task that requires extensive research and te […]
Layer Trajectory BLSTM: New evolution enhances speech recognition technology
Speech is a signal that can enable natural interaction between human and machine. In order to facilitate this exchange, machines have to be able to recognize what a human has spoken, both the words and the context in which those words appear. This is the task of speech recognition—a seemingly simple one from a human […] The post Layer Trajectory BLSTM: New e […]
Bring your phones to the conference table: creating ad hoc microphone arrays from personal devices
Recent advances in machine learning and signal processing, as well as the availability of massive computing power, have resulted in dramatic and steady improvement in speech recognition accuracy. Voice interfaces to digital devices have become more and more common. Lectures and online conversations can be transcribed using the live caption and translation fe […]

Recent MSR Publications

Helping first responders achieve more with autonomous systems and AirSim
With inputs from: Elizabeth Bondi (Harvard University), Bob DeBortoli (Oregon State University), Balinder Malhi (Microsoft) and Jim Piavis (Microsoft) Autonomous systems have the potential to improve safety for people in dangerous jobs, particularly first responders. However, deploying these systems is a difficult task that requires extensive research and te […]
Layer Trajectory BLSTM: New evolution enhances speech recognition technology
Speech is a signal that can enable natural interaction between human and machine. In order to facilitate this exchange, machines have to be able to recognize what a human has spoken, both the words and the context in which those words appear. This is the task of speech recognition—a seemingly simple one from a human […] The post Layer Trajectory BLSTM: New e […]
Bring your phones to the conference table: creating ad hoc microphone arrays from personal devices
Recent advances in machine learning and signal processing, as well as the availability of massive computing power, have resulted in dramatic and steady improvement in speech recognition accuracy. Voice interfaces to digital devices have become more and more common. Lectures and online conversations can be transcribed using the live caption and translation fe […]

New at ILPS

An error has occurred; the feed is probably down. Try again later.

Create a free website or blog at WordPress.com.

Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
To find out more, including how to control cookies, see here: Cookie Policy