Research

CS Undergraduate Student Chris Yoon Receives CRA Outstanding Undergraduate Researcher Honourable Mention

UBC Computer Science student Chris Yoon received an honourable mention in the 2019 CRA Outstanding Undergraduate Researcher Award for his research on privacy and security in distributed machine learning with Dr. Ivan Beschastnikh. Chris is a 4th year student in the computer science honours program. He is currently working towards his honours thesis on the generalizability of medical imaging applications with Dr. Rafeef Garbi. His research interests are in security, privacy, and robustness of machine learning with applications in healthcare.

Congratulations, Chris!

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CS Professor Nick Harvey & PhD Student Christopher Liaw win NeurIPS 2018 Best Paper Award

The paper, entitled "Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes", was awarded a NeurIPS 2018 Best Paper Award, 1 of 4 awards among 4854 submissions.  It was presented at the NeurIPS 2018 conference in Montreal, a flagship machine learning conference.

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Computer Science MSc student Xinyi Zhang and Professor Michiel van de Panne win 2018 MIG Best Paper Award

Computer Science MSc student Xinyi Zhang and Professor Michiel van de Panne won the best paper award at the 11th annual conference on Motion, Interaction and Games (MIG 2018) held in Limassol, Cyprus.

Audience Department
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Talk by David Fleet, University of Toronto

Date: 
Tuesday, November 27, 2018 | 11:00am - 12:00pm
Location: 
ICCSX836

Title: Multi-View 3D Reconstruction at Atomic Resolutions

CS Professor Kevin Leyton-Brown Named 2018 ACM Distinguished Member

UBC Computer Science Professor Kevin Leyton-Brown is named a 2018 ACM Distinguished Member for his 'outstanding scientific contributions to computing'.  The 49 Distinguished Members for 2018 are selected from leading universities, corporations and research institutes around the world, based on their professional experience and for their significant achievements in the computing field. These members not only have made significant contributions to various area

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Talk by Roger Tam, UBC

Date: 
Tuesday, November 27, 2018 | 1:00pm - 2:30pm
Location: 
ANGU 254, Henry Angus Building, 2053 Main Mall V6T 1Z2

Title: Machine Learning of Brain Images for Precision Health

Abstract: In this talk, I will provide an overview of machine learning in neuroimaging, with a focus on deep learning in chronic brain disorders. I will motivate the need for machine learning in neuroimaging, and outline key challenges, promising approaches, and active research topics.

Talk Dr.Sihem Amer-Yahia. Human Factors in the Design of Virtual Marketplaces

Date: 
Tuesday, November 20, 2018 | 11:00am - 12:30pm
Location: 
ICCSX836

Abstract: Virtual marketplaces have become the preferred way to hire people online. But with a growing number of workers and occupations, the use of algorithms to match tasks and candidates is becoming necessary. Sihem Amer-Yahia will discuss how human factors affect algorithm design on virtual marketplaces, how an adaptive optimization accounts for evolving human factors, and other subjects including group affinity for collaborative tasks. The talk will conclude with a discussion on the need to study algorithmic fairness on virtual marketplaces.

Talk by Rosalind Picard, MIT

Date: 
Monday, November 5, 2018 | 2:00pm - 3:30pm
Location: 
ICCS X836

Title and Abstract: TBA

Computer Science Professor Laks Lakshmanan receives 2018 IEEE DSAA Best Research Paper Award

UBC Computer Science Professor Laks Lakshmanan, together with his colleagues at Laboratorie d'informatique de Grenoble Behrooz Omidvar-Tehrani and Sihem Amer-Yahia, receive the 2018 IEEE Conference on Data Science and Advanced Analytics (DSAA) Best Research Paper Award.  The title of the paper is 'Cohort Representation and Exploration' and the award was given out in October, 2018, in Turin, Italy.  You can find

Audience Department
Site Categories Research

Recommender Systems: Beyond Machine Learning

Date: 
Tuesday, October 2, 2018 | 2:00pm - 3:00pm
Location: 
DFP Classroom, Forestry Building (2424 Main Mall), Rm 2300

Joseph A. Konstan is Distinguished McKnight University Professor and Distinguished University Teaching Professor in the Department of Computer Science and Engineering at the University of Minnesota.  His research addresses a variety of human-computer interaction issues, including personalization (particularly through recommender systems), eliciting on-line participation, and designing computer systems to improve public health.

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